Custom-trained NER models scan documents for hidden qualification criteria like certifications, revenue thresholds, and past experience.
Faster Screening
Reduced screening time by up to 70% per candidate
Optimizing Online Learning Outcomes through Intelligent Attention and Motion Tracking
The client is an ed-tech platform offering digital learning content and online assessments. With the shift to remote learning, the platform faced challenges in ensuring student engagement and preventing cheating during online exams. The client sought a real-time attention-tracking solution to improve academic integrity and optimize content delivery.
What Client Needed
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Monitoring and quantifying student attention during digital content consumption and assessments.
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Preventing cheating by detecting suspicious behaviors in real time.
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Providing actionable insights for content creators to optimize educational materials.
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Ensuring scalability, user privacy, and minimal system resource usage for seamless integration into the existing platform.
Tools & Technologies
Key Business Challenges
The client faced several challenges that impacted the efficacy of their online learning platform
Lack of Student Focus:
Students struggled to maintain attention during prolonged exposure to digital learning content, such as video lectures and interactive modules, leading to reduced knowledge retention and poor academic performance.
Academic Dishonesty in Online Exams:
Students struggled to maintain attention during prolonged exposure to digital learning content, such as video lectures and interactive modules, leading to reduced knowledge retention and poor academic performance.
Ineffective Content Delivery:
Without insights into student engagement, content creators struggled to optimize videos and training materials, resulting in lower course completion rates.
Scalability and Real-Time Monitoring:
The platform required a solution that could scale to monitor thousands of users simultaneously while providing real-time feedback without significant latency.
What We Built?
The implemented solution uses computer vision and machine learning to track student engagement via their webcam.
Head Pose Estimation
- MediaPipe Face Mesh (by Google) is used to detect 468 facial landmarks, enabling precise head pose estimation.
- OpenCV processes the video feed and applies geometric transformations to compute: Pitch (nodding up/down), Yaw (turning left/right), Roll (tilting head sideways)
- A 3D head model is fitted to the detected landmarks, and Perspective-n-Point (PnP) algorithm calculates the head’s orientation relative to the camera.
Eye Gaze Tracking
- dlib’s facial landmark detector identifies 68 key facial points, with specific points around the eyes (e.g., eyelids, pupils).
- Eye Aspect Ratio (EAR) is calculated to detect blinks: If EAR < threshold for a few consecutive frames → Blink detected.
- Gaze direction is estimated by tracking the iris position relative to eye corners. Using a pre-trained CNN (Convolutional Neural Network) to predict gaze vectors.
Real-Time Monitoring (30 FPS Processing)
- TensorFlow Lite (TFLite) is used for optimized ML inference on edge devices (e.g., student laptops).
- Multi-threading in Python ensures one thread captures webcam frames and another thread processes them via OpenCV + MediaPipe/dlib.
- Frame skipping (if processing is slow) ensures real-time performance.
Attention Scoring
- A time-weighted scoring algorithm computes Focus % = (Time looking at screen) / (Total session time).
- Distraction events are logged when Head yaw/pitch exceeds a threshold (e.g., >30° away from screen). Eyes are detected looking off-screen for >2 seconds.
- Session summary includes average attention span and distraction frequency.
Cheating Detection
- Multiple faces (indicating impersonation).
- Frequent head turns (suggesting looking at notes).
- Unusual eye movements (e.g., rapid shifts, prolonged off-screen gaze).
- Keyboard/mouse inactivity (possible use of another device).
People choose us because we serve the best for everyone
The client faced several challenges that impacted the efficacy of their online learning platform:
Lack of Student Focus
Students struggled to maintain attention during prolonged exposure to digital learning content, such as video lectures and interactive modules, leading to reduced knowledge retention and poor academic performance.
Academic Dishonesty in Online Exams
The rise of remote learning increased instances of cheating, such as looking at unauthorized materials or collaborating with others during assessments, compromising academic integrity.
Ineffective Content Delivery
Without insights into student engagement, content creators struggled to optimize videos and training materials, resulting in lower course completion rates.
Scalability and Real-Time Monitoring
The platform required a solution that could scale to monitor thousands of users simultaneously while providing real-time feedback without significant latency.
Business Impact
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Reduced Cheating Incidents
40% decrease in suspicious activities during online exams.
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Improved Engagement Metrics
25% increase in average attention span per session.
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Automated Proctoring
Eliminated the need for manual invigilation, saving costs.
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Data-Driven Content Optimization
Instructors refined videos based on attention heatmaps.
Conclusion
The implementation of a webcam-based attention and motion tracking system significantly improved student engagement and academic integrity on the EdTech platform. By providing real-time monitoring and actionable analytics, the solution empowered educators to identify disengaged students, deter cheating, and refine digital content for maximum impact. The privacy-first, browser-based design ensured user trust while delivering robust, scalable monitoring capabilities for a modern digital learning environment.
How We Delivered an AI-based Plugin that Improved User Engagement on OpenEdx?
Project Overview
The client wanted to simplify and reduce the time for course creation on the Open edX LMS platform. They had to manually upload documents, multimedia assets, and study materials that required considerable time and resources. The client wanted to increase the efficiency and convenience of generating a course through the Open edX platform so users won’t have to struggle to access information.
Key Objectives
The primary purpose of the client was to change their course creation process quickly, more efficiently, and more engagingly for the learners. Let us look at the different objectives they wanted to achieve:
- Automate course creation: Reduce the time and effort needed to build new courses with the help of content automation.
- Content abundance: Offer course materials with detailed and relevant resources from different channels.
- Track course history: Maintain a complete record of generated courses for better tracking and management.
- Multi-language format: Allow multi-language content and accessibility features to reach a wider and more vivid audience.
- Simplify AI management: Allow effective management of AI models used in content creation with a centralized dashboard.
Key Challenges
Some of the challenges that we faced while integrating AI with Open edX LMS include:
Manual course uploads
Creating courses needed an effective manual effort, slowing down content execution, and increasing the risk of errors were a few primary challenges we faced.
Consistent content quality
Relying on multiple content sources and maintaining the relevancy, accuracy, and structure was challenging.
Adding interactive elements
Adding coding arenas, evaluation blocks, and multimedia content added complexity to course design and delivery.
Multi-language support
Providing content across multiple languages without quality on stake or accessibility-based technical challenges.
Managing AI resources
Considering multiple AI models to generate relevant course material and making sure that smooth execution was practiced carefully.
Solutions Provided
We delivered an advanced AI-based Open edX plugin for instant course creation and enriched learning experiences based on the client’s requirements. Let us look at the different solutions we provided to deliver the final product.
Course generation
- We built a proprietary Open edX plugin that automatically generates courses with AI, and as you enter the topic, the system browses online resources, structures relevant material, and creates a course outline based on them.
- The backend was developed with Python and Django, while React supported the front end.
Multi-model AI integration
- For contextual accuracy, we integrated LLMs like Google’s Gemini, OpenAI’s ChatGPT, Grok, Anthropic’s Claude, and Azure OpenAI for insightful content generation.
- Langchain was the framework that was used to integrate these models into the plugin.
Data management
- A centralized dashboard was built to manage AI-based courses, track system performance, and offer admins visibility into activities.
- PostgreSQL was used for relational course and user data, while MongoDB managed unstructured content and multimedia assets for quick course management.
Cloud and infrastructure
- We deployed the solution on Azure and AWS environments for reliable solutions.
- CI/CD was done with Docker and Kubernetes for minimal downtime and continuous deployment.
Language and learning modules
- We developed different XBlocks to improve learner engagement by including coding evaluation blocks, PDFs, HTML, text, and video-based content.
- We also integrated in-house AI models for speech-to-text and text-to-speech functionalities.
- Multi-language embeddings ensured that courses can be generated and delivered in different languages.
Tech Stack
Business Impact
The Open edX AI plugin transformed the client’s way of course creation in multiple areas:
- The time needed to generate multiple courses changed from several hours to a few minutes, helping the client to execute new courses quickly.
- AI-based courses helped new learners better than traditional courses due to the implementation of contextually relevant study materials.
- Interactive modules, coding arenas, and multimedia content offered real-time experiences, increasing the learner participation and satisfaction.
- Hybrid databases and centralized dashboards allowed smooth tracking of course histories, effective management of AI tools, and real-time system performance monitoring.
Conclusion
The implementation of a webcam-based attention and motion tracking system significantly improved student engagement and academic integrity on the EdTech platform. By providing real-time monitoring and actionable analytics, the solution empowered educators to identify disengaged students, deter cheating, and refine digital content for maximum impact. The privacy-first, browser-based design ensured user trust while delivering robust, scalable monitoring capabilities for a modern digital learning environment.
Next-Gen Python Productivity : A Comprehensive AI - Powered Tool That Understands, Assists, and Executes Code
Client Overview
A leading e-Learning education portal, offering a diverse range of tech courses to students virtually, wanted to develop a comprehensive and scalable AI-powered chatbot that facilitate students, especially Python aspirants, with instant, real-time question-answer support with additional features, like debugging support, code execution, and error resolution.
What Client Needed
The chatbot aimed to provide Students with:
- Instant technical support for syntax, libraries, and debugging.
- Safe in-chat code execution with detailed error explanations.
- Context-aware responses for complex programming scenarios with simple explanations.
- Scalability to handle 10,000+ concurrent users with a high level of performance and efficiency.
Business Challenges
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High Demand for Instant Assistance
Python learners required real-time, 24/7 coding help, but human tutors had limited availability.
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Lack of Technical Support Features
Students needed more than Q&A—debugging, code execution, and error explanations—which traditional forums couldn’t provide.
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Inconsistent Learning Experience
Manual support led to variable answer quality, frustrating students and impacting course satisfaction.
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Resource-Intensive Support Model
Hiring and training human tutors for round-the-clock assistance was costly and unsustainable.
What We Built
To address these challenges, DRC Systems engineered a sophisticated AI-based chatbot solution leveraging cutting-edge AI/ML tools and technologies and best practices. Below are the key features and solutions implemented:
AI-Driven Natural Language Understanding
- Fine-tuned OpenAI’s GPT model with Python-specific datasets and Context-aware followups for deeper troubleshooting.
- Integrated LangChain for better context retention in conversations. Implemented Response Validation to ensure code accuracy before displaying results.
Secure Code Execution Environment
- Deployed a sandboxed Python runtime with restricted system access with in-browser Python execution with output display.
- Implemented timeout mechanisms to prevent infinite loops.
- Used containerization (Docker) for isolated, scalable execution.
Accurate Debugging & Error Resolution
- Integrated AI-powered error analysis for error detection and auto-suggestions.
- Provided step-by-step debugging guidance with examples.
- Added syntax highlighting and code correction features.
An Intuitive UI for a Seamless User Experience
- Designed a clean, intuitive interface with a code editor-like feel.
- Optimized API calls with caching for frequent queries.
- Ensured sub-second response times for code execution.
Intent classification & code analysis
GPT-4.1 Turbo
UI Development
HTML, CSS, JavaScript
Input validation & dependency checks
LangChain
Programming Language
Python
Isolated Python 3.11 environmentst
Docker Sandboxes
AI/LLM
OpenAI GPT API
Tech Stack
To address these challenges, DRC Systems engineered a sophisticated AI-based chatbot solution leveraging cutting-edge AI/ML tools and technologies and best practices. Below are the key features and solutions implemented:
Business Impact
The Python Assistance Chatbot delivered remarkable outcomes for the client and end users:
Instant Query Resolution
Users received accurate, real-time responses to Python queries, covering topics from basic syntax to advanced libraries like NumPy, Pandas, and TensorFlow.
Reduced Debugging Time
Reduced the error troubleshooting time up to 70%, thanks to smart suggestions and real-time error diagnosis.
Improved Productivity
With instant coding assistance and code execution, users could stay in flow and complete tasks faster with a great level of productivity and efficiency.
Enhanced Learning Curve
Especially beneficial for novice users, the chatbot served as a 24/7 virtual mentor, accelerating learning.
Seamless Integration
The chatbot can be deployed across web applications, IDE plugins, or even internal development portals.
DRC Systems successfully transformed a concept into a robust AI-powered Python assistance tool that bridges the gap between coding knowledge and execution. By combining natural language processing with real-time code evaluation, we empowered users with a tool that enhances productivity, promotes learning, and streamlines development workflows.
Driving Efficiency in Pharma Product Management with an AI-Powered Category Classification Solution
Client Overview
A leading global organization in the healthcare and pharmaceutical sector needed a scalable solution to classify thousands of unstructured product descriptions—spanning medical devices, pharmaceuticals, consumables, and supplements—into accurate, predefined categories. This classification was critical to support valuation processes, regulatory compliance, and streamlined operational workflows.
Business Challenge
The client faced a major bottleneck in managing and categorizing large volumes of product data stored in spreadsheets. The descriptions were highly varied, unstandardized, and included a mix of technical, commercial, and medical terminology. Manually processing such a vast dataset was not only time-consuming but also prone to errors and inconsistencies, significantly impacting data reliability and operational efficiency.
Key issues included:
Unstructured and Ambiguous Data :
Product descriptions lacked consistent language and formatting, complicating manual classification.
High Dependency on Manual Sorting :
Human classification was slow, error-prone, and resource-intensive.
Need for Scalable Automation :
The client sought to automate classification across multiple asset types with high accuracy to support downstream analytics.
What Client Needed
To automatically classify unstructured healthcare product descriptions to reduce manual sorting, improve downstream analytics and compliance.
- Accurately categorize unstructured healthcare asset descriptions.
- Reduce manual effort and increase throughput
- Provide consistent tagging for improved reporting, valuation, and informed decision-making
What We Built
DRC Systems, a leading AI/ML development company, designed and delivered a custom Machine Learning classification model, integrated into a web application, to automate the categorization of healthcare and pharmaceutical data with high accuracy.
Solution Features:
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Model Training & Evaluation
Applied and benchmarked Support Vector Machine (SVM) and Random Forest classifiers using labeled historical data.
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Natural Language Processing (NLP)
Used NLP models to process, clean, tokenize, and vectorize medical and commercial terms for model training.
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OCR Integration
Incorporated EasyOCR and Pytesseract for processing image-based product records and extending coverage beyond text-based data.
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Web Interface for Review & Export
Delivered a simple, intuitive, and highly interactive web application enabling data upload, classification visualization, manual review, and export.
Business Impact
Classification Accuracy
Achieved 89% model accuracy across pharmaceutical data
Operational Efficiency
Reduced manual sorting effort by over 70%
Faster Data Processing
Enabled large-scale classification in minutes
Improved Decision-Making
Delivered clean, categorized data for reporting and analytics
ML Algorithms for Classification
Support Vector Machine (SVM), Random Forest
Text Preprocessing
Python (Pandas, NLTK), Scikitlearn
OCR Integration for Image-Based Data
Pytesseract, EasyOCR
Web Application for Review and Export
Python with Flask
Tech Stack
Conclusion
The solution enabled rapid scaling of product data management across departments and set the foundation for broader AI adoption. By automating the categorization of complex pharmaceutical product descriptions, DRC Systems significantly streamlined operational workflows, minimized manual effort, and enhanced the accuracy and accessibility of enterprise data across departments. The AI-powered accurate classification also helped the client support regulatory and internal compliance efforts.
AI That Speaks Data: How We Reduced Analyst Dependence While Improving Query Accuracy by 92%
A renowned data management product development company needed a conversational, AI-powered chatbot solution that could accurately and efficiently extract relevant information from small-scale databases like MySQL and MongoDB. They wanted to develop an interactive chatbot that simplifies data retrieval and management by translating user queries into precise database queries while executing CRUD operations.
What Client Needed
The primary objective was to create a conversational AI interface that:
- Converts natural language inputs into structured database queries (SQL/NoSQL).
- Supports full CRUD operations (Create, Read, Update, Delete).
- Reduce query execution time with AI-driven query optimization.
- Ensures secure, accurate, and real-time data retrieval.
- Offers a low-friction user experience for interacting with structured datasets via a chatbot interface.
Tools & Technologies
Challenges Faced
Some of the challenges that we faced while integrating AI with Open edX LMS include:
Barrier to Data Accessibility
Non-technical users (e.g., marketers, product managers) struggled to retrieve data without SQL expertise, creating bottlenecks and dependency on IT teams.
High Operational Costs
Manual query handling required dedicated data analysts, increasing labor costs and slowing response times for routine data requests.
Inconsistent Query Accuracy
Human-generated queries often contained errors, leading to incorrect insights or repeated iterations, wasting time and resources.
Security and Compliance Risks
Ad-hoc SQL queries posed risks of injection attacks, unauthorized data access, or accidental schema modifications, requiring stringent oversight.
Scalability Limitations
Existing tools couldn’t adapt to growing datasets or support new database types (e.g., transitioning from MySQL to MongoDB) without costly re-engineering.
Poor User Adoption
Traditional database interfaces had steep learning curves, discouraging non-technical teams from leveraging data-driven decision-making.
Business Impact
DRC Systems successfully delivered a production-ready AI chatbot that revolutionized how users interact with structured databases. By blending powerful language models with real-time query execution, we made data access conversational, secure, and accessible to all stakeholders—regardless of technical expertise. This project exemplifies how LLMs, when combined with robust backend engineering and careful system design, can bring transformative efficiencies to enterprise data workflows.
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Accelerated Data Retrieval
Users fetched data up to 70% faster compared to manual SQL usage.
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Democratized Access
Non-technical users could interact with structured data via natural language.
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Increased Productivity
Reduced the dependency on data analysts or developers for simple queries.
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Scalable Architecture
Easily extendable to support additional databases or LLMs.
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High Accuracy
Over 92% query accuracy in real-world user tests across varying schemas.
What We Built
DRC Systems, a renowned AI/ML development company developed a comprehensive AI-based chatbot solution with advanced, cutting-edge AI/ML tools and technologies that accurately translate user queries into database queries and execute them through an intuitive UI.
1. NL Query to SQL/NoSQL Conversion
- Fine-tuned OpenAI’s GPT-4 with RAG (Retrieval-Augmented Generation) to improve query accuracy.
- Integrated LlamaIndex for structured data retrieval and semantic understanding.
- Implemented a query validation layer to prevent malformed SQL injections.
2. Multi-Database Support
- Built a database abstraction layer using SQLAlchemy (ORM) and MongoEngine.
- Used LangChain’s SQLDatabaseChain for adaptive query translation.
- Dynamic schema detection to auto-generate compatible queries.
3. Secure and Interpretable Query Execution
- Implemented sandboxing and query validation to prevent potentially harmful queries.
- Queries are parsed and reviewed before execution, with a rollback mechanism for destructive commands.
4. Robust Security and Strict Access Control
- Deployed a sandboxed query execution environment using Docker containers to isolate database operations.
- Implemented strict input validation, query sanitization, and parameterized queries to prevent SQL injection.
5. Real-Time Performance Optimization
- Utilized FastAPI’s asynchronous capabilities to handle concurrent requests efficiently.
- Query caching was implemented for frequently accessed data
- Database connection pooling was configured to reduce overhead.
Transforming Talent Acquisition: A Scalable AI Recruitment Platform for Comprehensive, Multi-Modal Candidate Assessment
Client Overview
A leading e-Learning education portal, offering a diverse range of tech courses to students virtually, wanted to develop a comprehensive and scalable AI-powered chatbot that facilitate students, especially Python aspirants, with instant, real-time question-answer support with additional features, like debugging support, code execution, and error resolution.
What Client Needed
To develop an AI-driven interview automation platform capable of:
- Automating resume-to-job-description (JD) matching using advanced NLP techniques.
- Generating dynamic, role-specific interview questions based on extracted candidate skills and JD alignment.
- Conducting AI-led asynchronous video interviews with realistic, human-like interactions.
- Evaluating candidate responses using multimodal AI models (speech, text, sentiment, and confidence analysis).
- Providing recruiters with a structured ranking dashboard for data-driven decision-making.
Tech Stack
AI Orchestration & RAG
LangChain, Haystack
Generative Models
GPT-4, Fine-tuned Mistral-7B
Speech Processing
OpenAI Whisper (STT), ElevenLabs TTS
Lip-Sync AI
Wav2Lip, Rhubarb Lip Sync
Sentiment Analysis
OpenSMILE, DeepFace, HuggingFace Transformers
Bias Detection
IBM AI Fairness 360, Custom ML Heuristics
Analytics & Dashboard
Power BI, Streamlit, Elasticsearch
Business Challenges
The client faced significant hurdles in scaling their recruitment process:
Overwhelming Applicant Volume
Recruiters struggled to process thousands of CVs, leading to delays and inconsistent screening outcomes. The system needed to handle concurrent interviews with low-latency response processing.
Dynamic Question Generation & Context Retention
Generic questions led to poor candidate assessment; follow-up questions required contextual understanding. The AI needed Retrieval-Augmented Generation (RAG) to pull relevant domain knowledge and generate adaptive follow-ups.
Realistic AI Interviewer Interaction
Robotic text-to-speech (TTS) voices reduced candidate engagement. Integrating emotion-aware TTS (ElevenLabs) and lip-sync AI (Wav2Lip) for natural interactions.
Bias Mitigation & Fair Scoring
Human biases and inconsistent scoring affected hiring fairness. Implementing bias-detection algorithms and normalized scoring models to ensure objectivity.
Multimodal Response Evaluation
Evaluating candidates solely on text responses ignored vocal confidence, sentiment, and non-verbal cues. The solution must address it by deploying speech emotion recognition (SER) models alongside transformer-based answer scoring.
What We Offered
DRC Systems engineered a robust AI Interview Automation Platform, leveraging cutting-edge AI, NLP, and video analytics to streamline candidate screening. The solution was designed with modularity and scalability in mind, addressing both technical and operational challenges.
AI-Driven Resume-JD Matching & Question Generation
- NLP-Powered Parsing by using spaCy and BERT-based embeddings for entity extraction (skills, experience, education).
- Cosine similarity + Knowledge Graph alignment to match resumes with JDs.
- Dynamic Question Generation by leveraging GPT-4 with RAG to pull industry-specific question templates.
- Generated adaptive follow-up questions based on candidate responses.
AI-Conducted Video Interviews
- Leveraged ElevenLabs TTS for natural speech modulation.
- Integrated LipSync AI for synchronized lip movements.
- Candidates answered pre-recorded AI questions with timed responses.
- Real-time speech interruption handling for seamless interaction.
Automated Multimodal Evaluation
- Leveraged Open AI Whisper (STT) for transcription and RoBERTa-based scoring for answer relevance for effective speech and text analysis.
- Integrated OpenSMILE + CNN models for vocal tone analysis and Facial emotion recognition (FER) via DeepFace for detailed sentiment and confidence analysis.
Composite AI Scoring
- Weighted scoring model combining technical accuracy (50%), confidence (20%), sentiment (15%), engagement (15%) to foster unbiased and fair recruitment practices.
Recruiter Dashboard & Explainable AI (XAI)
- Developed a centralized dashboard with Streamlit/Power BI integration for recruiter analytics.
- SHAP (SHapley Additive exPlanations) for transparency in AI scoring.
Business Benefits and Impact
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01
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02
Improved Shortlisting
40% improvement in accuracy of candidate-job fit
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03
Scalability
Simultaneously handled 500+ asynchronous interviews daily
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04
Consistency & Fairness
Bias-free, uniform evaluation with structured scoring
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05
Recruiter Focus
Human recruiters only reviewed top-tier candidates
DRC Systems engineered a robust AI Interview Automation Platform, leveraging cutting-edge AI, NLP, and video analytics to streamline candidate screening. The solution was designed with modularity and scalability in mind, addressing both technical and operational challenges.
Scaling Bid Success with AI: Automating Eligibility, Analysis, and Proposal Creation
Client Overview
A leading procurement intelligence platform supporting enterprises in discovering, evaluating, and responding to public and private sector tenders. The platform aggregates thousands of RFPs daily, helping users identify high-potential opportunities and streamline bid participation.
What The Client Needed?
To empower pre-sales and procurement teams with an AI-powered automation engine that reduces manual effort, accelerates bid response cycles, and increases the success rate of submissions. The solution was designed to:
- Automatically extract and summarize critical requirements from lengthy and unstructured RFPs.
- Validate bidder eligibility based on internal qualification data.
- Generate RFP-compliant draft proposals for faster and more consistent bid responses.
Key Challenges
Lengthy Tender Discovery
Daily influx of new tenders made it difficult to identify relevant ones that aligned with an organization’s capabilities and focus areas.
Information Overload & Document Complexity
RFPs typically exceed 80 pages, combining legal, financial, and technical content—often in mixed formats like scanned PDFs, tables, and annexures. Evaluating such a large volume of data manually is time-consuming and prone to errors and inaccuracies.
Scattered Eligibility Criteria
Key qualification criteria (e.g., certifications, turnover, experience) are buried deep within documents, requiring exhaustive manual review.
Strict Proposal Formats
Responses must align with specific templates and formats (e.g., Form A-D, executive summaries, compliance checklists), demanding repetitive effort under tight deadlines.
Risk of Non -Compliance
Missing key clauses or incorrect formatting can disqualify a bid, especially in government and large enterprise tenders.
Solution Features
DRC Systems developed an AI-driven platform that integrates Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Web Scraping, and Advanced Data Processing to streamline bid analysis, automate eligibility checks, and generate tailored proposal drafts, empowering stakeholders to compete effectively in high-stakes tenders.
RFP Evaluation Engine
Automated Data Extraction
Leveraging the web scraping capabilities (Scrapy + Selenium) to crawl and extract bid-relevant content from a wide range of documents available on multiple portals.
OCR & NLP
Parsing and indexing documents (image-based and scanned PDFs) using OCR (Tesseract) and layout-aware NLP models.
Relevance Filtering
Shortlisting of high-potential and organization-relevant RFPs, based on pre-set organizational filters (sector, budget, location, keywords).
Eligibility check
Only tenders where the organization meets all eligibility conditions are routed for review—reducing time spent on non-viable bids.
Proposal Automation
The solution automates RPF-compliant proposal draft creation:
RFP Requirement Mapping
LLP models analyze RFP documents and identify key required sections and formatting guidelines like executive summary, technical approach, past use cases, page limits, font specifications.
Content
Generation
Generates draft content for general sections while keeping in mind RFP requirements.
Format
Compliance
The solution generates a proposal that complies with RFP-specified formatting requirements.
Proposal
A downloadable draft proposal that can be shared and edited by the stakeholders.
Tech Stack
AI/ML Frameworks
LangChain for RAG orchestration
LLMs
Fine-tuned Mistral and GPT-based models
OCR and Text Processing
Tesseract for OCR, spaCy for semantic tagging and preprocessing
Programming Language
Python
Web Scraping
Scrapy for scalable data extraction, Selenium for dynamic content handling
Business Impact
The solution gives a paradigm shift to the organizations and pre-sales team in the areas of bid evaluation, eligibility checking, and proposal drafting.
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Faster Document Analysis
Automated data aggregation and text extraction helped stakeholders to reduce bid analysis time up to 60 to 70% and increase bid submissions by 82%.
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Intelligent Decision-Making
Make informed go/no-go decisions with quick document analysis and accurate, context-relevant answers.
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Improved Accuracy
RAG-powered question-answering offers precise and highly relevant insights to make accurate decisions.
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Proposal Automation
Improved efficiency of RFP responses by 80% by leveraging the automated RPF-compliant proposal draft creation feature.
This enabled faster bid response cycles, better compliance, and reduced manual workload for procurement and pre-sales teams. Hence, average monthly RFP submissions increased by 82% as the solution not just improves operational efficiency, but also enhances the organization’s ability to compete for high-value tenders under tight deadlines with a high level of accuracy and speed. This solution is adaptable to any industry managing complex document-based bidding workflows.
How DRC Systems Built a Unified LXP for Global Workforce Upskilling with
Company Overview
Hewlett Packard Enterprise (HPE) is a global leader in edge-to-cloud computing solutions, serving enterprises across industries. With a vast workforce spread across multiple regions, HPE required a scalable, unified Learning Experience Platform (LXP) to streamline employee training, compliance, and upskilling.
The challenge was to consolidate multiple learning sources (internal courses, third-party providers like Udemy and Coursera, and certification programs) into a single, user-friendly platform while ensuring seamless tracking, reporting, and compliance management.
Key Objectives
The primary objective was to design and develop a comprehensive Learning Experience Platform (LXP) to support HPE’s internal online training needs. The solution needed to be:
- Enterprise-grade, scalable, and intuitive.
- Globally accessible, accommodating both local and international employees.
- Integrated with third-party content providers.
- Capable of managing mandatory and advanced upskilling training.
- Equipped with robust reporting and assessment tools for compliance and performance tracking.
- Centralized system for all the trainings (self paced, instructor led, blended and offline training’s)
Key Business Challenges
HPE faced several challenges in achieving its training objectives:
Fragmented Learning Ecosystem:
Training content was scattered across multiple platforms, making it difficult for employees to access and track progress in a unified manner.
Diverse Training Needs:
Catering to mandatory compliance training, advanced upskilling, and certifications required integration with various content providers and assessment tools.
Global Workforce:
Supporting a geographically dispersed workforce demanded a scalable platform with offline and online training capabilities.
Compliance and Reporting:
HPE needed automated compliance reporting and consolidated analytics to meet HR audit requirements and track learner progress across platforms.
Security and Proctoring:
Ensuring secure and credible assessments for certifications was critical, especially for technical and behavioral evaluations.
Solution We Offered
To address these challenges, the HPE LXP was built on Open edX, leveraging its open-source flexibility and robust feature set. Below are the key solutions implemented:
Unified Learning Portal on Open edX
- Integrated Training Calendar: Built on Open edX’s scheduling module with a custom React/JavaScript UI, enabling users to view and enroll in ILT, VILT, and self-paced courses via a centralized calendar.
- Offline Training Records: A custom Open edX module allowed users to log offline session attendance, reconciled through Python scripts and stored in PostgreSQL for unified reporting.
- Notifications & Reminders: Automated via Celery with Redis, using SMTP for email alerts and WebSocket-based push notifications for in-platform reminders.
- Session Management: Admins manage sessions through a Django Admin interface, with attendance tracking via API integration with HPE’s HR system.
Third-Party Course Integration
- Udemy Integration: Curated courses pulled into Open edX via REST APIs; SSO enabled through OAuth 2.0; real-time progress sync via Webhook listeners.
- Coursera Integration: Embedded via REST APIs with JSON-based tracking and deep linking for a seamless experience.
- RPS Integration: Certification content integrated through APIs and deep links, with metadata stored in MongoDB for catalog display.
- Dynamic Catalog: Unified catalog powered by Elasticsearch for fast filtering; personalized learning paths generated using Python-based recommendation logic.
Secure Assessments
- Mettl Integration: RESTful APIs and Webhook listeners synced assessment results to Open edX’s PostgreSQL for tracking and certification.
- Proctoring & AI Plagiarism: Embedded via Mettl’s JavaScript SDKs with custom Open edX assessment modules for secure, monitored exams.
- Consolidated Reporting: ETL pipelines built with Apache Airflow pulled data into Snowflake; dashboards created in Tableau for detailed analytics.
API Integrations for Data Flow and Tracking
- SSO Integration: Unified login via SAML 2.0 with HPE’s Active Directory.
- Custom APIs: Built with FastAPI for seamless data exchange on enrollments, completions, and scores across Open edX, HR systems, and providers.
- Webhook Listeners: Node.js-based listeners enabled real-time sync of learner progress and compliance data.
Consolidated Reporting from All Platforms
- Unified Reporting: Data aggregated in Snowflake via Apache Airflow pipelines from Open edX, third-party platforms, and Mettl.
- Dashboards: Built with React and D3.js for interactive views on progress, training hours, and certifications.
- Compliance Reports: Generated and integrated with HPE’s HR system for audits.
Business Impact and Benefits
The HPE LXP delivered significant value to the organization:
Improved Learner Experience
SSO and a unified course catalog reduced friction, increasing course enrollment by 35%.
Enhanced Compliance
Automated compliance reporting reduced audit preparation time by 49%.
Scalability
The API-driven architecture supported a 40% increase in global users without performance degradation.
Cost Efficiency
Integration with third-party providers like Udemy and Coursera reduced content development costs by 25%.
Combined Course Catalog
A consolidated course catalog from all the providers is shown to users so they can select the course of their choice easily.
Learning Path with courses from multiple providers
Multiple courses from multiple providers were brought together as a learning path.
Secure Assessments
Mettl’s proctoring ensured credible certifications, with a 98% pass rate for technical assessments.
Data-Driven Insights
Consolidated dashboards enabled data-driven decisions, improving training program effectiveness by 30%.
Transforming a Global Interfaith Knowledge Centre Into an Interactive Networking Platform
Project Overview
Connect 2 Dialogue is a global platform that simplifies networking among people of diverse faiths, religions, and cultures. Formerly known as the ‘Dialogue Knowledge Hub’, it is a non-profit organization that hosts religious leaders, educators, civil society representatives, and policymakers, offering them directories, resources, event invitations, and learning materials related to Interreligious Dialogue (IRD).
DRC Systems was assigned the objective of creating a global digital community by redesigning and repurposing their website to turn it into a fully functional networking platform. This revamp included providing features such as profile creation, content creation, thematic webinars, dialogue voices, promising practices, and statements for Peaceful Coexistence.
Key Objectives
The primary objective of the project was to develop and relaunch a refurbished version of the platform, offering accessible and structured directories with intuitive data presentation tools for a user-friendly experience. Some other objectives included:
- Support knowledge exchange and experience in the Interreligious Dialogue (IRD) field by refining access to online directories, databases, and resources.
- Build an open-source platform that is organized, easily navigable, and visually appealing to share information like research, events, and insights with the IRD community.
- Create a dedicated online platform where the members of the IRD community can connect, network, and collaborate conveniently in team activities.
Key Challenges
Connect 2 Dialogue faced multiple challenges when it came to expanding its IRD community online:
Low user engagement
The large user platform did not see much engagement before, and the number of visitors was limited. Due to no collaborative space, the users treated it as an archive platform rather than a networking one.
Data management complexities
Content used to be maintained with external tools like Google Docs, which created website integration scalability issues.
Lack of networking
The system had no networking features like building connections, sharing messages, or creating interest groups, which reduced the sense of community.
Neglected tools and directories
Valuable directories such as ‘Who is Who’ and the ‘Peace Map’ were static in use due to limited visibility and interactive items that can increase user engagement or allow exploration.
Solutions We Offered
To provide optimal solutions and a complete website revamp, the modifications were done through WordPress.
User Experience and Display
- We built a user-friendly interface for the platform on WordPress to make sure that it is accessible across devices like desktops, mobile devices, and laptops.
- We also tested and rendered the platform for cross-browser compatibility so it works consistently on different browsers.
Network Directory Management
- We developed a custom module through WordPress, aligning with the client’s needs to manage users and organizational profiles with advanced filters based on country, region, interest, or affiliation.
Activity Tracking and Notifications
- User actions like profile updating, content publishing, or sending connection requests were tracked with PHP on WordPress to monitor platform activity.
- Notifications were incorporated in the platform to alert users about major activities, group invites, network updates, and return visits using PHP on WordPress.
Internal Messaging System
- We developed a module on WordPress where users can send and receive private messages from the platform itself without any reliance on external tools.
Geolocation and Visual Mapping
- We integrated Google Maps into the platform to display the locations of the organizations and the individuals mentioned in the directories.
- Users can also search for other contacts based on the region or city, and also look at user profiles through the database storage benefit of MySQL.
Workflow and Release Management
- A structured Git workflow was used for version control with tagging for major updates and releases.
- This allowed safe deployments for the DevOps team to track changes, roll back versions, and maintain code consistency across multiple environments.
Tech Stack
MySQL
WordPress
Google Maps Integration
Features and Modules
DRC Systems provided a bunch of features and modules to the client. Let us take a look at a few of them:
Interactive directory map
- Visual representation of organizations and individual across the globe with a map interface with custom markers and filters based on the area of their work, organization type, and location.
User profiles
- Customizable profiles with fields for personal and professional details, photos, areas of interest, and tags, along with role-based access for individuals and companies in the Who is Who directory.
My Network
- Users can connect with other individuals, view mutual contacts, and maintain their personal network like in LinkedIn. Suggestions are displayed on their profile based on shared interests, locations, and work areas.
Interest groups
- Group-based modules like Facebook Groups helped them to join topic-based communities with interactive elements like discussion threads, event threads, and content posting within groups.
Messaging portal
- An Internal messaging system was provided so individuals can initiate conversations, as their inbox will also retain conversation history in the user dashboard.
Multimedia Integration
- Video, photos, and infographics support for a diverse resource catalog. We also offered integration with platforms like Vimeo and YouTube for better playback.
Conclusion
This project improved the interaction and engagement between the global faith communities of the world. By refurbishing the entire platform into a feature-rich networking space, DRC Systems transformed the client’s organization from a storage space to an active digital community. We made an accessible and scalable, meaningful platform for the IRD community that allowed resource sharing, connection building, and ongoing dialogue.
Interactive Peace map with Directory and filter
Profiles and messages to be sent to connections
Database Directory
Digital Transformation ERP for Gems and Jewellery Council - MegaCFC (GJEPC)
Project Overview
Mega Common Facilitation Center (Mega CFC) is a socio-economic project promoted by the Ministry of Commerce and Industry of India for the scaling and upliftment of the Jewellery and Gems industry. The project is designed to encourage engagement from micro, small, and medium (MSME) enterprises by offering them access to advanced technologies, modern techniques, and industry-aligned training.
DRC Systems was assigned the objective of centralizing query inputs and information from the custom requirements of different clients. It should also digitize operations across multiple departments, maintain efficiency, and implement easily accessible information. They also required inventory tracking and service order processing for their organization.
Key Objectives
To implement an end-to-end digital transformation of the client's service workflow — from order receipt and processing to final product handover — ensuring streamlined operations, improved traceability through bar code, and reduced manual intervention. Add somewhere diamond and jewellery so it looks relatable.
- Deliver role-based access to the firm’s employees to manage operations between them, manufacturers, and clients for accurate approvals, confirmations, and invoicing.
- Simplify complex task requests like dynamic input fields, automated calculations, and real-time cost estimations in a centralized database.
- Create a database for the accounting department to calculate and record dynamic currency conversion, helping in financial queries and global cost estimation.
- Improved operability of the platform by creating a structured process, monitoring every step of the service lifecycle, from initiation to payment confirmation.
- Install a barcode tracking system to track the movement of diamonds and jewellery pieces across departments, allowing real-time visibility and status of each item.
- Managed 10+ service offerings of unique nature and dimensions while automating BOQ generation with built-in calculation logic for weight and costing.
- Create modules for assigning exhibition booths, scheduling conference hall usage, and managing catering services for half/full day durations, along with their handling cost calculations within the ERP.
Key Challenges
Some of the challenges that we faced while developing the ERP system for the client are:
Diverse service requests
Managing service requests was complicated due to variations in materials, sizes, and specifications, which made data collection inconsistent and scattered.
Irregular data display
Since products of different materials were involved, there was no unifying system to process custom field requests efficiently.
Manual calculations
There was no centralized service for the platform to automate costs and rate calculations.
Complex user workflow
The workflow for the organization was cluttered with inconsistent information, which required a permission-based system to manage approvals, confirmations, and visibility at every hierarchy.
Inventory management
The inventory was difficult to manage due to no fixed percentage or BOQ, as materials required varied based on the product or service requested.
Solution We Offered
We provided a centralized workflow ERP system for Mega CFC’s service, developed in Odoo for their business processes. Let us take you through the different solutions we made.
Centralized Service Management
- We built a backend solution for Mega CFC using Odoo and Python with configurable 10+ service offerings to manage all their services and set up a complete automated workflow for input and output fields.
- We also designed a structured data model with more than 180 custom fields with inputs like material type, cost, and dimensions.
Dynamic Calculation Model
- We used Python to implement a set of formulas in the ERP system to automatically calculate the weight and overall costing of the materials based on the details of the query.
- A centralized calculation model is particularly beneficial since it eliminates over-reliance on spreadsheets and manual calculators.
Role-based Workflow System
- With the Odoo framework, we developed a structured model within the ERP that gave role-based permissions to manage service order flow across employees, manufacturers, and clients.
- We developed this through backend logic within Odoo’s framework to make it a scalable and safe workflow model.
Custom API Integrations
- We developed a custom API within Odoo that was also integrated with SAP to handle the finances of the accounting department, as they were using SAP at the Group level.
- A booking engine was developed so the admin can keep the availability of exhibition stands, conference rooms, and catering services, which customers can register for events through auditorium booking based on different durations, as the booking data is stored in a database created from PostgreSQL.
Data Backup
- We also built the means to backup and restore data with AWS, hosted with a 30-day backup window, which allowed scheduled backups and secure recovery of data.
Global Currency Support
- We developed a dynamic currency conversion system available in Odoo to support global transactions that can auto-convert pricing based on the real-time market rates for the product.
Tech Stack
Business Impact
The ERP system that we developed for Mega CFC was beneficial to them because:
Organized query management
Our custom APIs extracted and categorized service requests of the clients, providing a clear view of their needs.
Quicker service
Since the workflow is defined in a well-organized manner, manufacturers, operators, and clients can work in sync without any delays.
Accurate cost estimation
Python provides automated cost calculations that were previously done manually, thereby increasing the rate of approvals and invoicing.
Event booking
Booking an auditorium or exhibition stands for a business event was made possible through the website portal.
Structured role management
Role-based access ensured that only the person with the right authority has the permission to approve, confirm, and review information for accountability.
Accounting and transactions
Due to an integrated global currency system, converting international currencies with real-time market data is made easier, along with the SAP integration to view invoices for the accounting department.
Conclusion
This project turned the organization’s service management and workflows into well-organized and well-maintained, centralized data. We simplified complex service request inputs with the implementation of diverse categories from Odoo, automated costing, and third-party integrations like SAP. This resulted in a platform that was transparent and reliant on delivering MSMEs long-term efficiency and investment for their manufacturing projects.
HubSpot ↔ NetSuite Integration for an Industrial Manufacturer
Objective
A mid-sized industrial equipment manufacturer needed its sales and service teams to view real-time inventory levels, pricing, and product availability from NetSuite directly inside HubSpot.
The goal was to shorten quote-to-order cycles and reduce errors caused by disconnected systems.
Challenges
- Inventory data existed only in NetSuite’s ERP modules, while the sales team lived entirely in HubSpot.
- Pricing and discount structures changed frequently and had to be reflected in quotes within minutes.
- Multiple warehouses required location-specific stock visibility.
Solution Overview
DRC Systems designed and implemented a bi-directional integration using NetSuite’s SuiteTalk REST API and HubSpot custom objects.
Key elements:
- Inventory & Product Sync: Nightly full sync plus on-demand API calls for high-value SKUs. HubSpot custom objects store SKU, warehouse location, available-to-promise quantities, and tiered pricing.
- Sales Order Flow: Deals created in HubSpot automatically generate NetSuite sales orders once approved, keeping fulfillment and finance in sync.
- Real-time Alerts: Webhooks trigger HubSpot workflows when NetSuite inventory thresholds are reached, notifying reps of low-stock situations.
- Secure Data Layer: All transactions routed through a middleware layer for audit logging and retry logic, meeting the client’s compliance requirements.
Results
- Quote-to-order time cut by 35 % through instant visibility of stock and dynamic pricing.
- Order accuracy improved to 99 %, reducing costly back-orders.
- Unified 360-degree view of customers, enabling automated follow-ups and cross-sell campaigns.
- Because of confidentiality agreements, the live instance is only accessible under NDA, but we can arrange a private demo to showcase the architecture and approach.
Tech Stack
HubSpot Custom Objects
NetSuite SuiteTalk REST
AWS Lambda Middleware
Webhooks & HubSpot Workflows
Building Urban Waters for Water Management and Resources In India.
Project Overview
Wipro foundation (Our client) requested for a platform that could encourage collaboration from different cities for urban water resource management. The initiative’s focus was to build a shared space that connects practitioners, researchers, citizen activists, and communities who want to raise concerns about the water-related challenges in Indian cities.
DRC Systems was assigned the design and development of this platform from scratch. Our primary objective was to transform the Urban Waters vision into an efficient digital platform that can support information sharing, community engagement, resource discovery, and collaboration across different cities, while being user-friendly and interactive.
Key Objectives
Besides building the platform from scratch, the project also demanded several specific requirements for raising awareness and topic discussions with different user groups across cities. These objectives included:
Role-Based Access Control:A secure login system with access levels available for super admins and city-specific admins.
Event Management: Tool integration that helps schedule and book events based on water resource management and awareness sessions.
Multi-City Admin Panels: Admin panels were built for every city (Bangalore, Chennai, Hyderabad, and Pune only) to manage local content, contacts, events, and articles.
Community Forum: Creating a portal for users to publicly discuss and engage in water-related topics, share insights, and raise awareness at the community level.
Service Provider Directory: Create a listing page for water-based service providers, with information like contact details and the solutions they provide.
City-Wise Article Publishing: Building a page dedicated to the latest posts and articles published based on individual cities, allowing localized knowledge transfer.
Service Provider Directory: Create a listing page for water-based service providers, with information like contact details and the solutions they provide.
Case Studies and Featured Resources: Implementing a section for users to view real-life projects and case studies from different cities.
Key Challenges
Some of the challenges that we faced while developing Urban Waters for our client are:
Multi-Tiered Access Control
Developing a safe and secure access system divided into super admin and city-specific admin control without breaching data privacy between cities.
Localized Content Handling
Ensuring that articles, resources, service providers, and events are segmented individually across different city dashboards.
UI/UX Interface
Building an intuitive user interface for both administrators and public users for different requirements in functionality and accessibility.
Advanced Filtering
Creating a filter that could handle dynamic data sets, including service providers and resources, without impacting site performance or user experience.
Security Concerns
Safeguarding the platform from online threats like XSS attacks, login abuse, and host header injection, while also managing IP-based access controls without third-party reliance.
Solution Provided
We designed and developed a fully customized website on WordPress as both the content management system and development framework
Admin and access control
We provided role-based access through WordPress backend services developed with custom PHP logic, allowing super admins complete control while city-level admins have region-specific control.
Backend access was also secured through IP restrictions that were configured with server-side settings and validated through PHP backend logic.
User interface development
From wireframes to the final layout was developed with custom WordPress plugins and jQuery for dynamic interactions.
Resource and service provider development
The directory of service providers was developed with custom post types and meta fields in WordPress using PHP backend logic with jQuery to develop interactive content blocks.
We also provided an advanced filtering system using AJAX calls with jQuery and custom PHP queries for users to sort information based on city and services provided.
We added city-based categories to organize case studies by location in WordPress, as frontend templates rendered city-based stories with PHP and MySQL.
Content and information management
With WordPress’ built-in publishing system, we made a web page for articles and blog posts that delivers city-specific information to the viewers using custom fields for tagging and categorization.
We also made a publishing portal using WordPress’ customization tools and PHP that helped city admins to post updates, insights, or news.
Community engagement
A forum section was built using WordPress plugin to maintain performance and moderation on the platform, allowing logged-in users to participate in conversations.
We also integrated event creation and scheduling tools with custom post types and backend forms through jQuery pickers and filters that help admins create, edit, and manage events through the dashboard.
Security measures
Across all forms and inputs, preventive coding practices were used through validation that prevents the addition of harmful scripts in forum replies or article content.
CAPTCHA integration was added to registration and login forms with WordPress’ security plugins that were manually configured for bot protection and performance.
Tech Stack
Business Impact
The website for Urban Waters was beneficial to Wipro because:
Local participation
The website delivered region-specific content and forums, allowing the logged-in users to participate in the conversations about water-related activities in their cities.
Water sector-related knowledge
The platform became a public knowledge hub on water sector-based case studies, articles, and service providers, which made the information accessible through a single place.
City-level management
Creating independent panels for each city allowed admins to gain full control over local content without the risk of data overlaps. This allows them to respond to their regions more efficiently.
Improved information access
Simple organization, public access to service directories, and open forums help the website to raise awareness about water resource efforts and community development.
Conclusion
This project allowed the organization to bring together region-based information, community engagement, and admin management in a unified system. It almost serves like an engagement platform for the audience that supports urban water awareness and management, simplifies local administrations, and allows public participation within a digital platform.
How DRC Systems Created a Unified and Safe Platform for Wealth Management?
Project Overview
A UK-based client contacted our company with the plan to develop a wealth management application to manage, track, and safeguard an individual’s/family’s wealth. The aim of creating this platform was to organize scattered financial data, simplify complex digital transactions, and fully comply with the regulatory standards. The client needed a one-stop platform that could manage investments, accounts, health records, and financial documents for both web and mobile.
DRC Systems designed a platform, keeping in mind the unification of wealth and personal finances by integrating banking, insurance, and health records. This platform would securely connect multiple accounts with open banking APIs, support digital document storage, and allow compliance with financial regulations.
Key Objectives
The client wanted to build a platform beyond the simple wealth tracking tool that could combine compliance, access, and advanced integrations. The basic objectives included:
Centralized wealth
Bring all kinds of financial and asset information into a single and easy-to-access platform.Advanced integrations
Allow integrations with third-party applications like open banking APIs, payment gateways, and document management systems.Strong security
Make sure that stringent data protection and compliance with government regulations are maintained, which includes data privacy and financial compliance laws.Simple user experience
Create a user-friendly interface to simplify complex tasks and make them more intuitive for individuals and families.Miscellaneous additions
Transform the platform beyond finances, also to contain health records, insurance details, and other necessary document storage.
Key Challenges
Some of the challenges that we faced while developing the wealth management platform for our client are:
Data unification
One of the main challenges was to unify and combine different financial accounts and investment forms into a single platform.
Security concerns
Too much highly sensitive data was available on the platform, and personal data was vulnerable to cyber threats, which were difficult to safeguard.
Compliance issues
Besides complying with the industry standards, following the strict UK and EU data protection laws like GDPR, while maintaining secure data flows, was a challenge in itself.
Complex integrations
Smoothly connecting with third-party providers like open banking services, payment gateways, and CRM systems was a great challenge to overcome.
User adaptability
One of the challenges was to create a platform that held a simple and powerful interface to allow adaptability across different age groups and financial literacy levels.
Solutions Provided
We delivered a sophisticated wealth management system that considered the client’s requirements with multiple integrated solutions, each of which was powered by a strong technology stack:
Unified financial dashboard
Combined multiple bank accounts and investments into a single platform with the help of a third-party integration, ‘Open Banking architecture (Moneyhub)’
We provided backend support with .NET MVC databases such as MS SQL Server and MariaDB to handle the account data safely.
Health and insurance management
We integrated the platform with a CRM like Microsoft Dynamics 365 to manage and track related records.
We also improved multiple platform capabilities to store health records and insurance policies in a single place.
Digital documentation organization
Created a safe and secure storage system for financial documents along with insurance papers.
We also integrated a PDF Scanner for uploading and storing digitized paper records.
With the help of ReactJS, HTML, and CSS, we delivered a completely user-friendly website for the platform users.
Automated notifications and reminders
We provide an integrated Firebase notification hub for on-time reminders about the renewals, due dates, and payments.
Security and encryption
We provided a biometric login for the platform users and owners for the same app built on Android and iOS.
Data encryption and compliance were handled with .NET MVC backend and secure database handling.
Smooth payment handling
We also integrated the Stripe payment gateway to allow secure and compliant financial transactions executed by the user on the platform.
Multi-platform access
Since mobile apps are in demand, we also ensured the website becomes mobile-friendly by making it compatible with both Android and iOS.
We developed the web application with ReactJS frontend and .NET MVC backend.
We also provided wealth management solutions to your mobile app by integrating it with APIs and notification systems for better performance.
Tech Stack
Frontend
- React JS
- HTML
- CSS
Backend
- .NET MVC
Database
- MS SQL Server
- MariaDB
- Dynamic 365 CRM
Third-Party Integrations
- Open banking with Moneyhub
- PDF Scanner
- Stripe Payment gateway
- Firebase
- Notification Hub
Business Impact
The wealth management platform was beneficial to our client because:
Centralized wealth management
The unification of banking, investments, insurance, and health data in a single and secure platform allowed users to view a detailed report on their total wealth. This eliminated the need to switch between different apps or manual methods, making financial planning more effective.
Enhanced user experience
The smooth and intuitive onboarding and design of the platform’s interface made it simple for families and individuals to navigate through it. Features like biometric login, auto-reminders, and digital vaults help in better client engagement and long-term retention.
Regulatory compliance
Since data and security are the highest priorities, the system was built to align with the GDPR and financial regulations. Besides safeguarding user-sensitive data, this also helped the client’s credibility and compliance adaptability in a stringent environment.
Value-based features
The system can also restore health records and insurance details. This use case alone highlights the software as a tool that does more than just wealth management.
Conclusion
We combined financial expertise with advanced technology to create a high-tech wealth management system, which does much more than manage wealth. The platform not only simplifies tracking wealth and managing finances but also maintains compliance, security, and convenience. Due to its approach in financial management and beyond, this is a modern, reliable, and user-friendly wealth management platform.
How DRC Systems Simplifies Mutual Fund Investments With Digital Solutions?
Project Overview
A fintech company approached DRC Systems for the purpose of building a mobile platform that simplifies financial investments in mutual funds, making them affordable and accessible to Indians, specifically for small cities, minors, NRIs, etc. They also wanted to acquire information about the right web service provider that collects data on different mutual funds for investments.
DRC Systems researched different components required to build the platform, allowing investment products and improving integration with financial product providers like mutual funds and fixed deposits. Besides this, they also allow embedded or infrastructure APIs for third-party companies to provide investment products.
Key Objectives
Besides building the core investment platform, the project also demanded improvements in domain-specific needs like smooth onboarding, regulatory compliance, and integrations with different financial systems. The primary objectives included:
Time to market
Implement the investment platform to quickly launch their investment products by reducing the time in integration with multiple product providers and managing operational costs.
Unit-based infrastructure
Build APIs, SDKs, or white-label tools that can be reused, are safe, and adopted by multiple clients with different investment products.
Low deployment and operation costs
Limit developer efforts, agency management costs, and dependencies on different external systems for each product. This will reduce the capex/OPEX for the platform and its customers.
User-based experience
Smooth onboarding and different user types support provide a smooth user experience along with offering micro-investment, transparency, simple KYC, and UI/UX.
Regulatory and compliance readiness
Make sure the integration is smooth with the right mutual fund registrars or agents, and the NAV or transaction data is accurate. Audit trails must also be mentioned along with KYC/AML compliance.
Key Challenges
Some of the challenges that we faced while developing the investment platform for our client are:
- Scattered systemsBringing mutual funds, RTAs, and KYC processes together under a single and smooth workflow was a major challenge since all of them use different APIs.
- Compliance and user identityMaking sure that compliance with SEBI, other regulatory bodies, PAN, and bank details is maintained.
- Simple user interfaceThe UX must be simple for people from outside metro cities. Processes like payment, KYC, and risk assessment must be managed well.
- Scalability and growthIntegrating many financial product providers leads to an increase in volume, so the platform must handle load and latency issues, maintain data integrity, and security.
- API resolutionsCoordinating with third-party API providers like BSEStarMF, MorningStar, and CAMS to understand their API structure was complex.
Solutions Provided
We created a simple and smooth investment platform from scratch by exploring different third-party APIs and executed a strong Python-based backend for data processing and API integrations.
Backend Control
We used Python for complex mutual fund transactions, API integrations, and data processing that included:
- Acquiring bank details with IFSC code lookups.
- KYC verification automation through SMS services.
- Confirming accurate client details before transactions.
- Generating AOF and NACH Mandate forms as per BSE requirements.
Investment Management Features
We connected our Python-based APIs with our native iOS and Android apps to develop primary investment features like:
- Purchasing mutual funds directly from the app.
- Selling/redemption of the investments with real-time updates.
- View Portfolio History to track returns and holdings.
- Financial Calculators to display SIPs, PMT, and IRR for their portfolios.
Goal-based Investment Tracking
We used different Python-based algorithms to calculate:
- PMT for goal-based investments.
- Internal Rate of Return (IRR) for client portfolios.
These results were displayed in native mobile apps as a Dynamic Goal Summary, offering users a live view of their progress in their financial goals and recommendations so they can stay on track.
Tech Stack
Python
Native iOS
Native Android
Business Impact
The investment platf orm was beneficial to our client because:
Faster time-to-market
With white-label, API, or SDK infrastructure, our client and its partners were able to launch new investments, fixed deposits, and mutual fund products relatively faster than building them from scratch.
Cost-efficiency
Due to common infrastructure, limiting the need for individual integration with multiple RTAs and using shared devices lowered both operational and development costs. The founders claim to have saved 80% of costs and go to market 8-10x quicker with the platform’s tech stack.
Increased outreach
The platform found an extensive audience from NRIs and minors due to small ticket sizes that ranged as low as Rs 100. This attracted customers from tier II and tier III cities.
Product diversification
This platform has provided multiple investment product types like mutual funds, equity advisory, peer-to-peer lending, fixed deposits, digital gold, and many more which increases the proposition value for users, reducing churn and increasing revenue.
Improved user experience
Smooth onboarding, simple UI, transparent fees, and risk profiling features have improved user trust and retention.
Conclusion
The mobile investment platform went from a simple consumer-facing app to an infrastructure offering app. Investing in APIs, SDKs, or white-label capabilities, managing backend complexity of investment product integration, and focusing on user experience has helped our client increase their offerings. It has also helped the platform owners save time and resources to launch it and invite a larger audience to India’s wealth environment.
How We Improved Security and Learning Efficiency for Enterprises with LXP-LMS Integration
Project Overview
The client is a learning experience provider from the e-learning industry offering personalized course deliveries to its audience through a custom Learning Experience Platform (LXP). It helps learners access courses, assessments, and educational resources while catering to different enterprise clients with microsites.
Key Objectives
The project focused on developing a smooth and strong connection between the client’s LXP and the Open edX LMS so users can easily access assessments, track course progress, and join classrooms of recorded sessions. Some of its objectives included:
Direct course access
A secure login system with access levels available for super admins and city-specific admins.
Smooth SSO
Admin panels were built for every city (Bangalore, Chennai, Hyderabad, and Pune only) to manage local content, contacts, events, and articles.
Progress synchronization
Create a listing page for water-based service providers, with information like contact details and the solutions they provide.
Client microsites
Create a listing page for water-based service providers, with information like contact details and the solutions they provide.
Simple course creation
Create a listing page for water-based service providers, with information like contact details and the solutions they provide.
Key Challenges
Some of the challenges that we faced while integrating the platforms include:
Building authentication
The main challenge was to integrate Single-Sign-On and OAuth while maintaining a smooth user experience.
Fusion Auth integration
Updating the system from a standard OAuth to Fusion Auth without disrupting any data.
Microsite management
Handling 300+ client microsites with consistent data accuracy and domain routing across all sites.
Improved architecture
Managing system stability and performance across different enterprise clients while supporting cross-platform access.
Solutions Provided
We provided a sophisticated LXP-LMS integration, considering the client’s requirements with different solutions. Let us take a look at them:
LXP-LMS Integration
- We allowed users to navigate from the LXP dashboard directly to the Open edX LMS platform so they can learn and read conveniently without interruption.
- We used Django and Python for backend development with the Open edX framework to ensure smooth course execution.
Security Authentication
- To eliminate multiple logins, we provided Single Sign-On so users registering on the LXP can automatically be linked to accounts on LMS.
- We used Fusion Auth integrated with Django, offering secure authentication for all enterprise clients.
APIs for Data Sync
- We built custom APIs to synchronize user activity, data enrollments, and course progress in real-time for accurate reporting on the LXP dashboard.
- Python libraries and Django were used to build these APIs, and MySQL handled LMS data while MongoDB handled course data.
Microsite Configuration
- We set up 300+ microsites for different users, and each one represented the client’s branding in the URL prefix with consistent routing and data accuracy.
- The front-end was built with React, and Django was used for domain configurations.
Simplified course creation
- For consistent content management, we also built a single-step course creation form with four categories: Domain, Sub-Domain, Difficulty Level, and Course Type.
- This form was built with React for an interactive interface, and Python and Django carried the backend logic for storing and categorization courses.
Tech Stack
React JS
Fusion Auth
Django
MySQL
Python
MongoDB
Open edX
User activity synchronization and enrollment
Business Impact
The learning experience platform was beneficial to our client because:
The LXP-LMS integration developed a unified learning environment, which improved both learner experience and efficiency. The platform became much more convenient for 300+ users of the client.
The real-time data synchronization with custom APIs made the course progression visible on the dashboard, which helped in improving course management and engagement across all microsites.
The personalized microsite setup improved the client’s brand presence for each enterprise user, reducing the maintenance overhead.
The single-step course creation form allowed teams to set up courses conveniently without hindering categorization or data accuracy.
Conclusion
By integrating LXP with Open edX LMS, we established a smooth and secure learning environment for our client. With this implementation, a frictionless learning experience was experienced by hundreds of users, which helped the client expand their brand reach even further. Besides learner engagement and operational performance, we helped in developing a technology-based framework that aligns the client for future growth and expansion in digital learning.
Revolutionizing Customer Experience with PrivateGPT
Client Overview
The client is an educational institution aiming to enhance information accessibility and user experience for students, faculty, and website visitors. The institution faced challenges in efficiently delivering topic-specific academic content, resulting in information overload on the website and difficulty in finding relevant resources. To address these issues, the institution sought an AI-powered solution capable of providing instant, accurate, and context-aware responses within a secure environment eliminating the need for manual searches, streamlining academic support, and improving overall student engagement.
What Client Needed
To create a PrivateGPT for closed environments that can:
- Enable rapid, precise information retrieval for students and website visitors without exposing sensitive data to public AI services.
- Streamline user experience by providing instant, context-aware responses tailored to proprietary content (syllabus, documentation, product info).
- Ensure compliance with data privacy and sovereignty regulations by deploying AI within a closed, on-premise environment.
Tech Stack
LLM Framework
Llama 3 (Meta), PyTorch, Hugging Face Transformers for language tasks and fine-tuning on domain-specific data.
Model Optimization
LoRA (Low-Rank Adaptation) for efficient fine-tuning on proprietary datasets with reduced compute requirements.
Containerization & Orchestration
Docker, Kubernetes, Red Hat OpenShift
Document Processing
Apache Tika for parsing and extracting text from PDFs, word docs, and HTML
RAG Orchestration
LangChain, Haystack for document retrieval and synthesis for context-aware answers
Conversational AI
Rasa for dialogue management, intent recognition, context tracking
NLP Libraries
spaCy for multilingual named entity recognition (NER)
LMS Integration
LTI 1.3, Moodle, Canvas for seamless integration with learning management systems
Experiment Tracking
MLflow for auditing and tracking AI model training and responses
Business Challenges
Inefficient Information Search
Students and clients spent excessive time manually searching through books, chapters, or website pages to find specific information, leading to frustration and lost productivity.
Delayed Client Engagement
Website visitors often waited for email or phone responses, risking missed business opportunities due to slow information delivery.
Data Privacy Concerns
Existing public AI solutions posed risks of data leakage and non-compliance with regulations (e.g., GDPR, ISO 27001), especially when handling sensitive or proprietary content.
Lack of Customization
Off-the-shelf chatbots and search tools could not be tailored to the organization’s unique data, terminology, or compliance requirements.
What We Built
To address these challenges, we developed PrivateGPT, a tailored conversational AI solution leveraging advanced AI and machine learning technologies.
Deployment of PrivateGPT
- On-Premise LLM Framework: Deployed Llama 3 (Meta) as the base model, fine-tuned using PyTorch and Hugging Face Transformers for domain-specific tasks.
- Containerization: Hosted in a Kubernetes cluster (on-premise) using Docker for scalable, isolated microservices.
- Fine-Tuning Pipeline: Leveraged LoRA (Low-Rank Adaptation) to optimize model training on proprietary datasets (syllabi, product docs) with minimal compute overhead.
Retrieval Augmented Generation (RAG)
- Text Extraction:Apache Tika for parsing PDFs, Word docs, and web-scraped HTML.
- Vectorization: Used sentence-transformers (all-MiniLM-L6-v2) to convert text into embeddings.
- Vector Database: Stored embeddings in Pinecone for low-latency semantic search.
- Contextual Answering: Combined LangChain orchestration with Haystack pipelines to dynamically retrieve and synthesize answers from documents.
Secure Data Handling
- Network Isolation:Deployed within a Zero Trust Architecture using Tailscale for encrypted peer-to-peer connections.
- Data Encryption:Applied AES-256 for data-at-rest and TLS 1.3 for data-in-transit.
- Authentication: Integrated Keycloak for SSO and OAuth 2.0 with Active Directory/LDAP.
- Authorization: Enforced RBAC using Open Policy Agent (OPA) for granular permissions.
Multi-language Support
- NLP Libraries:Leveraged spaCy for multilingual named entity recognition (NER).
- Offline Translation:Deployed MarianMT models for on-device translation in restricted environments.
- Locale-Specific Tuning: Fine-tuned the LLM on parallel corpora (e.g., EUROPARL) for idiomatic accuracy.
Scalable Integration
- REST & GraphQL: Exposed endpoints via FastAPI (Python) and Apollo Server (Node.js).
- Asynchronous Workflows: Managed high-volume requests with Celery and RabbitMQ task queues.
- LMS Integration: Prebuilt connectors for Moodle and Canvas using LTI 1.3 standards.
- CRM Compatibility: Webhooks to sync with Salesforce and HubSpot for client engagement tracking.
Business Impact
The PrivateGPT solution empowered the client to deliver a transformative user experience for both students and clients:
Efficiency Gains
Students and website visitors could instantly access precise information, reducing search and response times by over 70%.
Enhanced Security
All data remained within the organization’s private infrastructure, ensuring full compliance with data privacy laws and eliminating the risk of external data leaks.
Customization and Control
The AI assistant was fine-tuned on proprietary data, providing contextually relevant answers and supporting industry-specific terminology and workflows.
Scalability
The solution was easily integrated across educational, corporate, and customer-facing platforms, supporting a wide range of use cases from student revision to customer support automation.
Core Achievements
Improved client engagement, reduced operational bottlenecks, and built organizational AI expertise, resulting in measurable ROI and a competitive edge.
PrivateGPT demonstrates how secure, on-premise generative AI can revolutionize information access and user engagement while maintaining strict data governance and compliance.
Boosting Retail Efficiency: AI-Powered Checkout Cuts Costs & Queues by 80%
The client, a regional retail chain with over 50 convenience stores, marts, and gas station outlets, serves a diverse customer base in urban and semi-urban areas. With a focus on providing quick and convenient shopping experiences, the client faced growing operational challenges due to inefficient billing processes. Long checkout queues, particularly during peak hours, led to customer dissatisfaction and strained resources, prompting the need for a transformative solution to modernize their operations and enhance customer experience.
What the Client Needed
The goal was to design and implement an innovative, AI-driven solution to automate the billing process, addressing the following objectives:
Eliminate long checkout queues to improve customer satisfaction.
Reduce dependency on manual labor to lower operational costs.
Maintain high accuracy in product identification and billing to minimize errors and enhance trust.
Accelerate the billing process to handle higher transaction volumes efficiently.
Ensure scalability for deployment across various store formats, including marts, small stores, and gas station convenience outlets.
Tech Stack
PyTorch 1.12 for model training and deployment, with TorchScript for optimized edge deployment.
OpenCV 4.5 for image preprocessing and YOLOv7 for state-of-the-art object detection performance.
Roboflow for efficient dataset creation and management.
Stripe API v3 for secure, automated payment processing.
NVIDIA Jetson Nano for real-time inference at the store level.
DeepSORT (Deep Simple Online and Realtime Tracking) to track customers across multiple cameras.
AWS (for model hosting) for scalable deployment and data storage.
Key Business Challenges
The client faced several operational and customer-facing challenges that necessitated a technological overhaul:
Extended Checkout Times
Peak-hour queues resulted in average wait times of 10-15 minutes, leading to customer
High Labor Costs
The need for additional cashiers and support staff during busy periods increased
Error-Prone Billing
Manual scanning led to frequent billing errors, requiring additional staff time for corrections and impacting customer
Scalability Constraints
The existing system was not adaptable for smaller store formats or gas station outlets, limiting the client’s expansion strategy.
Customer Retention Risks
Slow and cumbersome checkout processes negatively affected customer loyalty, with a reported 20% drop in repeat visits during peak seasons.
What We Delivered
The team engineered a state-of-the-art autonomous checkout system leveraging computer vision, real-time data processing, and AI-powered object detection
Automated Item Recognition
- Deployed YOLOv7-tiny models on edge devices to detect and classify products in real time with 99% accuracy across 1,500 unique SKUs.
- Implemented multi-object tracking to associate products with individual customers
Real-Time Computer Vision Integration
- High-resolution IP cameras paired with NVIDIA Jetson Nano edge devices.
- Computer Vision Framework was built using OpenCV and accelerated with CUDA libraries on Jetson for low-latency processing.
Facial Recognition for Customer Identification
- Implemented Dlib with facial embeddings and OpenCV for real-time recognition.
- Each customer is authenticated through the mobile app and recognized in-store via facial recognition.
Dynamic Cart Generation and Mobile App Integration
- Leveraged Flutter for front-end and Node.JS and Express.JS for backend to build a cross-platform mobile app.
- The app receives real-time updates from edge devices via WebSockets for instantaneous cart changes.
Frictionless Payment System
- Leveraged Stripe API for secure, one-tap payments via the mobile app,
- Implemented auto-checkout functionality, allowing payments to process automatically
System Monitoring and DevOps
- Utilized Prometheus for real-time monitoring of system performance and Grafana for dashboard visualization.
- Configured using GitHub Actions to automate code testing, container builds (Docker), and deployment to AWS.
Business Impact
Reduced Wait Times
Checkout duration dropped up to 70%, from several minutes to mere seconds, significantly improving customer throughput.
Enhanced Customer Experience
Shoppers enjoyed a seamless, frictionless checkout, leading to higher satisfaction and increased store loyalty.
Scalability
The modular architecture allowed easy deployment across various store formats, supporting both large and small retail environments.
Lower Operational Costs
Automation reduced the need for multiple cashiers, enabling resource reallocation and cost savings.
Improved Accuracy
Automated item recognition and weight validation minimized human errors, ensuring precise billing and inventory management.
Data Insights
The system collected granular data on sales, popular items, and customer preferences, enabling data-driven business decisions and targeted marketing.
Conclusion
This project marks a paradigm shift in retail operations by leveraging artificial intelligence and computer vision. The solution not only optimized the billing process but also enhanced customer satisfaction and reduced operational burdens. By investing in next-generation retail technology, the client has positioned themselves as an industry innovator, ready to scale and lead in the era of smart retail.
How DRC Systems Successfully created foolproof software for the electric vehicle that helped drivers notably?
Overview of the project
Have you ever found your journey more joyous than the destination? Well, of course, if you have chosen an Electric vehicle specially designed to offer drivers a smooth and seamless experience. Speaking of a flawless driving experience, we would like you to know how we at DRC Systems helped our client create software in the form of an Android tablet that manages to allow the driver to drive safely and intimates him or her about the exact condition of the vehicle.
Basically, our client wanted us to create a seamless Android tablet for the drivers to know every detail about their vehicle, and here’s how it started:
Technology Stack
Work On
Android 10
Requirements of our client
Our client wanted us to design software in the form of an Android tablet that helps users with flawless parking assistance so he or she does not find any trouble while parking their vehicle.
Yet another feature that our client wanted us to integrate is the out-and-out demonstration of navigation. Users should be assisted with proper navigation so that they can reach their destination feasibly.
Challenges
-
Lack Of Digital Platform
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Complete Manual Process
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High Administrative Costs
- When the driver drives an electric vehicle, he or she must be notified immediately about every minor or major status of the vehicle such as the low battery, and other trivial damage that might cause in a vehicle; updating the driver with real-time information by avoiding latency was one of the biggest challenges for us.
- As the software is built in the form of an Android tablet, the UI of the same has to be created with pixel-perfect high-resolution animation. So, the part of UI/UX and animation was something in which we worked our guts out.
- Yet another challenge was to maintain different integrations seamlessly with hardware like notifying drivers about the engine’s status and integrating the speedometer, GPS, and battery life. All of these notifications had to be received by drivers on the basis of real-time data. So, implementing multiple integrations with hardware was quite a painstaking task.
Solutions
-
Digital Platform For Customers
-
Online Payment Integration
-
Seamless Process
- As our client wanted us to create a foolproof parking assistance feature, we successfully integrated the feature of flawless parking guidance for the drivers.
- We also implemented the feature of simple and succinct navigation feature that a driver can easily get a hang of. Our client wanted us to create no-complex navigation so that drivers don’t get disorientated while finding the right direction to reach their destination.
- We successfully created an appealing and easy-to-understand UI of the tablet device so drivers don’t find any trouble understanding the real-time information the software provides in the form of graphics.
Optimize Your Processes
Streamline your business operations with our tailor-made software. Optimize your processes for maximum efficiency. Reach us @ info@drcsystems.com to discuss your project details.
Sales Force Automation tool for Healthcare & Pharma Industries
An Overview
The leading pharma company in India wanted to build a sales force management platform for healthcare and the corporate industry with various modules and benefits, including niche marketing. This organization has a huge presence in diabetology, pain management, genecology, oncology and anti-infective segments.
Key Business Objectives
The main goal behind this project is to provide help to the business to manage the sales force and daily operations to enhance proficiency.
Robust Sales Force Management for Healthcare
Secure and Scalable Platform
Automating Routine Sales Force Tasks
User-friendly responsive design
The Challenge
Some of the challenges that we faced while developing the investment platform for our client are:
-
Route Planning Constraints:
As per their system, the Medical Representative needed to plan the activities for the next month, depending on the number of states. Based on the rights of these states, the medical representatives could add the doctors to their standard visiting lists. The client wanted to have a functionality that could convey the exact route and number of kilometers. This functionality was difficult to incorporate due to the number of states and standard visiting lists.
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Data Leakage Prevention:
The client holds a strong reputation in the marketplace for data security. The client wanted to develop a web application that restricts users from copying the content from the web application to another platform. We had to incorporate data security, limit access to developer tools and hide the ‘inspect element’. We were also asked to disable the ‘print content’ and ‘screenshot’ features of the page.
Implementation & Solutions we Offered
We provided a sophisticated LXP-LMS integration, considering the client’s requirements with different solutions. Let us take a look at them:
Smart Calendar System
- We developed a custom calendar that could streamline the monthly plans or standard tour plans. The client could expand the particular cell row and expand all the cell rows.
Anti-Tamper Security Layer
- To secure the data, we developed some functions that restrict the users from taking screenshots and also disabled the inspect element feature.
Master Management
- The platform allows healthcare providers to learn and master the management of routine medical activities.
CRM
- We have integrated a CRM solution to help manage 360-degree patient profiles, automated appointment scheduling and data insights.
Daily Activities
- The platform dashboard provides real-time data insights for daily activities, enabling health workers to improve decision-making.
Stock Management Reporting
- Tablets and medicine stock inventory management reports allow authorities to prepare accordingly, eliminating the chance of stock insufficiency.
Marketing
- We have added marketing functionalities for campaign management, new product introduction and niche marketing.
HRMS
- The HRMS solutions in this platform enable employee management, expense reimbursement, employee surveys and more.
Training
- The training module provides courses for new employees and refresher training for existing employees, with grading and performance.
Issue Resolution & Complaint Management
- The platform has an impressive functionality of complaint management and quick response to issue resolution.
Key Benefits
Complete Automation
Paperless complete automation of Sales, Marketing and HRMS
Centralized Operations
Helped to centralize the activities and monitoring of the same
Brief Reports
One-page report to make important decisions for
Rapid Support & Management
Quick response and masters management
Enhanced Ticket Resolution
Better complain and issue resolution
Responsive Design
Responsive and user-friendly interface to handle from Mobile/Desktop/ Laptop
Conclusion
This Sales Force Automation tool development is used to help the sales personnel automate routine tasks and accelerate productivity. DRC Systems has helped a leading pharma company with a problem-solving sales force automation tool that handles the majority of the tasks through advanced automation.
How has this healthcare platform witnessed surprising results after associating with DRC Systems?
An Overview
A healthcare facility client wanted to build a robust platform to help doctors manage patient prescriptions for repetitive medications. DRC Systems created a systematic platform to manage medications with utmost accuracy and data protection.
Business Objectives
- Our client wanted us to create a platform where doctors and patients can connect with each other for virtual treatment without compromising treatment efficiency.
- Our client wanted to send alert notifications through SMS and Email for Admin, Doctors, and Patients.
- For patients, we had to work on implementing the feature of ordering multiple items from the “View Prescription” page.
- For Admin, we had to follow a similar approach as patients; under each patient’s file, allow Admin to buy multiple prescriptions at once.
Challenges
-
Prescription Refill
Many times patients need a repeat course of medications to become fully fit, which is why it was important to add refilling the prescription functionality, which was something that challenged us. -
Confidential Delivery
As the patients create their payment process, sending them medicines through a third-party server has to be highly secured. So, maintaining confidentiality was something we took great care of. -
URL Shortening
Sometimes, lengthy URLs could hinder the process, as all the communication is done through SMS. Thus, implementing the feature of URL shortening was a challenging job.
Solutions
-
Virtual Consultation
Our online consultation solution for doctors to treat their patients virtually with mentioned symptoms and prescriptions helped in an efficient treatment procedure.
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Multiple Prescriptions
We have integrated a prescription functionality to help doctors send bulk prescriptions at the same time for the same categories of patients.
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Prescription Management
Through a generated link, patients can check images of the medicines before ordering and exclude any of them already available in the stock.
Technology Stack
FRONTEND
HTML/CSS (Bootstrap 4)
BACKEND
PHP Laravel 5.8
DATABASE
MySQL
Conclusion
This platform has helped doctors and patients to connect easily for virtual treatment, prescription and medications. DRC Systems has added an additional security layer to protect the data and maintain proficiency.
How did the DRC Systems manage to create a website for a wine business to open doors to new opportunities?
Overview of the Project
Finding rich, earthy flavors of wine can make you whine as it’s no less than a laborious task! Not every wine is made to give you the ultimate pleasure of indulgence and taste whether it’s well fermented or not.
Well, speaking of finding a good wine, our client came up with a solution through which people can find a rich and flavorful wine without having to struggle to find a good one. That’s when we came into the play; our client wanted us to develop an apt and appealing e-commerce website that comprises the best collection of white, red, and rose wines along with the desired collection of champagne.
Creating a website for a wine business was quite a challenging task. Check out this case study throughout to know the story and how it all went!
Client’s Requirements
Our client wanted us to develop a dynamic and visually appealing website that aims to showcase an amazing wine collection, offer information about different wines, and facilitate online sales. The website should reflect the elegance and sophistication associated with the world of wines while providing an easy and enjoyable user experience.
Technology Stack
Challenges
-
Cart Approval Required
-
Can Approve Carts
-
Can Place Order
- Integrating data from Vintner’s database to Magento was quite a challenging task as this whole website is developed with Magento 2.
- Our client wanted to make the process of purchase as personalized as possible for their users, so they wanted us to add the feature of case quantity and bottle quantity. It makes the purchase process of the user quite feasible; implementing this feature was pretty painstaking.
- Integrating the feature of users’ order history from his or her’s first purchase to the last one was pretty complex. Users’ data is accessible in both month and year formats.
- The user once signs up, becomes the main user of his/her account enables him/her to allow adding sub-users, and gives them the following permissions:
Solutions
-
Digital Platform For Customers
-
Online Payment Integration
-
Seamless Process
- Users can download the order data anytime when they need detailed information about their purchase history. Implementation of this feature served as a unique solution.
- Our client wanted us to allow multiple users to access the same account in which the main user can allow the other ones with respective permissions. So, that was one of the unique solutions we provided to our client.
- Also, users do not necessarily have to buy wine bottles in case quantity, they can go with the bottle quantity if they wish to. So, our client never wanted to settle for a bit of compromise when it comes to giving customers a personalized experience, hence we provided them with this solution.
- We also incorporated a newsroom page for our clients to share news, articles, and updates related to the wine industry, upcoming events, and new arrivals. It was all developed in WordPress CMS.
Economic Zone Management System (EZMS)
An Overview
EZMS – Economic Zone Management System provides a robust solution for Free Zone, Business Parks, Logistics and Economic Zones all across the globe. A cloud & SaaS-based solution with a single integrated system providing real-time insights on customer service, compliance, operation and management. With so many processes from setting up a business, visas and licenses to work permits and their renewal, EZMS helps make the Free Zone communities a far more attractive proposition.
Key Business Objectives
The prominent goal of this project is to provide a cloud & SaaS-based solution with a single ecosystem providing customer service, compliance, operation and management.
Cloud & SaaS-based EZMS solution
Free Zones, Business Parks, and Economic Zone Management Worldwide
Streamline end to end process of business setup, Visa, license, work permit and renewals
Centralized real-time reporting and analytics
Strengthen compliance and risk management
The Challenge
Manual Process Inefficiency
All the operations were managed on paper, so it was difficult and very time-consuming.
Monitoring Gap
There is no central monitoring or database, so there is no mechanism to measure the resolution of key requests.
Inaccurate Processing
Company formation was taking around three weeks due to the manual process, which was not accurate.
Visa Processing Delay
It was a lengthy and time-consuming process to apply for a visa for employees.
Policy Update Difficulty
It was difficult to implement a new policy or change to be printed on all the different types of forms.
Implementation & Solutions we Offered
Digital Process Efficiency
- We had implemented a digital economic management system, which helped reduce time and usage of paper, so the solution is to encourage paperless.
Centralized Monitoring System
- It has been a boon for all the zone managers, administrators, and government administrators to monitor and manage all the key requests.
API Integration Efficiency
- Our solution had an API integration with the Ministry of Economics system, which reduced the company formation time from three weeks to two days.
Automated Visa Processing
- The system helped to directly apply for employee visas from the system itself, which ensured prefilled data based on the registrations and API integration with the Visa issuing authority to expedite the visa issue time.
Scalable System Architecture
- Post-solution, it became very easy to make the changes as the system is highly scalable and robust enough to adopt any changes as a part of the configuration.
Module
AI and Analytics
Concierge Services
Feedback Modules
Document Builder
Payment Gateway Integration
Company Profiles
Zoho CRM Integration
Reports and Dashboards
Company Formation
Business License Issuance
Business Visa Application
Role, Rights and Approvals management
CMS Pages
Dynamic Form Builder
Dynamic Workflow Builder
API Management & Integration
Adobe Integration for Digital Document Signing
Company and Individual Risk Assessment
API Integration with the Government for the processing of Visa
Task Manager to Allocate tasks to Employees
Notification Engine Email, Whatsapp and SMS Gateway Integrations
Bank Integrations to Open Accounts Easily
National Security Checks Integration
World Check for Criminal Records
Ministry of Economic Integration for quick processing of company formation
Conclusion
By integrating LXP with Open edX LMS, we established a smooth and secure learning environment for our client. With this implementation, a frictionless learning experience was experienced by hundreds of users, which helped the client expand their brand reach even further. Besides learner engagement and operational performance, we helped in developing a technology-based framework that aligns the client for future growth and expansion in digital learning.
Empowering Immunization and Healthcare Delivery through Rapid Skill Enhancement and Capacity Building
An Overview
This is an immunization process and healthcare delivery project that allows healthcare personnel to administer vaccines quickly and effectively. It provides a comprehensive training program and innovative tools & technologies implementation to streamline the immunization process. The project is compatible with any industry supporting cloud and on-premise hosting and has been implemented for the Ministry of Health and Family Welfare, India.
Key Business Objectives
The primary business objective of the project is to strengthen the immunization procedure and healthcare delivery by training the healthcare workforce.
Streamlined Immunization Procedure
Easy Information Access and Guidelines
Academic Training Sessions and Self-learning Materials
A Structured Monitoring
The Challenge
Cascade Training Cycle
The time period of standard cascade training took place around every 3-5 years, leading to a lack of proactiveness in the workforce.
UPI Training Gap
The rapidly changing scenario of UPI for security enhancement leads to gaps in training requirements.
F2F & WorkForce Logistics Challenge
The large number of the immunization workforce and diverse ground conditions make it difficult to arrange logistics for face-to-face training.
Refresher Training Gap
Refresher and reinforcement cascade training fails to maintain quality over time, leading to knowledge decay and misinterpretation of originality.
Content Update Difficulty
The current training mechanism was outdated and challenging to add changes and new guidelines.
Unstructured Monitoring
The lack of a monitoring and tracking mechanism in the system resulted in workflow interruption.
Implementation & Solution We Offered
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ICT Utilization
ICT tools utilization, such as Electronic Immunization Registries (EIRs), mobile apps and supply chain management systems to streamline the workflow.
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Doubt Resolution
We have discussed all the existing doubts and misconceptions addressing vaccine hesitancy, clinical uncertainties and data discrepancies.
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Self Learning
Adding interactive games and providing e-learning courses, we have provided a self-learning module for the healthcare personnel.
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Monitoring Mentoring
Authorities can monitor, track and mentor the workforce with training sessions to enhance the output quality.
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Innovative Methods
Our team of developers has implemented an innovative methodology to boost problem-solving with accelerated business growth.
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Easy Updates
We have incorporated easy access to new information and guidelines for the workforce to enhance the operations.
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Mobile Learning
Mobile-friendly and easy access on any device allows learning on the go to boost work proficiency within the whole system.
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Certification Incentives
The platform also provides certification incentives and rewards to the workforce for self-learning the immunization process workflow in the system.
Features & Business Impact
Role-wise Dashboards
We provide role-based access to healthcare workers according to their roles with a hierarchy-based reports mechanism for district-level and state-level admin roles with a dashboard of users/learners, admin course author, and supervisor.
20+ types of Assessment
The platform empowers you to have 20 types of quizzes like MCQ, Text input, Numeric response, Checkboxes (multiple choice, multiple correct answers), Open response exercises, image drag and drop, File submission, Peer graded questions and many more.
SCORM Compliant
This platform offers SCORM support via a third-party XBlock, providing seamless interoperability between content and learning management systems, giving standardized, high-quality training to health workers.
2 types of Certificates: silver & Gold
The 2 types of certificates can be configured based on the parameters set by the author, like if cleared in 1st attempt with marks above 70, then users get a Gold certificate, otherwise silver certificate.
Chatbot
It has a chatbot which allows you to Build Conversational AI Experiences. It provides flexible conversational AI software for building text and voice-based assistants, which is proven to be a boon for Online learning.
Course Progress
Learners can get course progress reports and grades for each learning section to help with self-awareness and encourage them to accelerate their performance by monitoring graded activities.
iOS and Android Native Application
Native applications like iOS and Android allow health workers to easily access learning materials and upgrade their skills for the immunization process and get new updates and guidelines effortlessly.
Email/SMS Notifications
The platform also gives notifications for normal activities like course enrollment, course completion, certification generation and reminders to complete the unfinished learning modules in the course.
Technology Stack
Mobile Applications
Web Application
Open Source
Database
Supported by
Conclusion
This project has streamlined the workflow and improved the immunization process with thorough optimization in training sessions, dashboards, guideline updates, etc. DRC Systems has helped the client to boost work efficiency in healthcare delivery with preciseness in helping medical professionals.
How did DRC Systems transform the concept of skilling & upskilling by creating a robust platform?
An Overview
The client wanted to build a responsive and user-friendly digital platform to transform skilling, reskilling, and upskilling initiatives across the country. They wanted to build a platform that provided skills beyond traditional learning by combining online courses, multilingual support, AI-based recommendations, and many other features. The final product was built to improve skill development while bridging the gap between education and employment opportunities, making quality learning accessible to all.
Key Business Objectives
The primary purpose of the client was to change their course creation process quickly, more efficiently, and more engagingly for the learners. Let us look at the different objectives they wanted to achieve:
Skill development
Provide skilling, upskilling, and reskilling opportunities for users nationwide.
Job connectivity
Provide a job marketplace to network skilled workers and learners with employment opportunities.
Secure access
Offer verified and trusted access with national identity-based registration.
Multi-language support
Due to the different languages spoken nationwide, courses were to be made accessible in these different languages for a wider reach.
Data-based insights
Provide analytics for decision-makers to improve any learning outcomes.
Multi-device access
Guarantee a smooth learning experience through web and mobile platforms.
The Challenge
Some of the challenges that we faced while developing what the client required include
- Project expansion: Building a platform that can manage millions of users with high upkeep activity.
- Integration difficulties: Integrating different systems, including job boards, AI recommendation engines, and analytics tools.
- High security: Since it is a national platform, implementing measures for secure access with mobile OTP and national identity-based registration was required.
- Multilingual support: Delivering content in 20+ languages without sacrificing usage was a difficult task to pull off.
- Content Standardization: Managing course content, assessments, and SCORM compliance across different platforms and formats.
Implementation & Solutions we Offered
Digital Learning Platform
DRC Systems implemented a digital learning platform that helps users take skilling, upskilling, and reskilling courses from anywhere at any time.
Learning Milestone
The platform has achieved 5.5 million registrations and 1 million successful enrollments.
Skill-based Hiring
It integrates a job board where opportunities are listed, functioning as a marketplace connecting job seekers and job providers with specialized skills.
Smart Recommendation
The platform includes an AI recommendation engine that suggests courses and opportunities based on a user’s education, location, and demand trends.
Chatbot Assistant
A WhatsApp chatbot enables users to ask questions, explore the platform, and find relevant courses, content, and job opportunities.
Analytics Dashboard
Analytical reporting tools assist decision-makers in leveraging insights to improve the quality and reach of skilling initiatives across the country.
Features
- Online Learning - Skilling, Upskilling & Reskilling: The platform enables users to earn new skills, upskill and reskill themselves, helping to better employment and skilled resources in the country.
- GIS: GIS is enabled to see graphically various skills centers available, employers available, Institutes, Universities, Trainers etc.
- AI-based Recommendation Engine: Users/learners, based on their demographics, can choose skills they should do for better opportunities to increase their income or get a job through AI recommendations.
- Mobile OTP for Authentication: An otp is sent for the authentication of users on their mobile number and this mobile number has to be the same as on their national identity.
- Registration/KYC with the National Identity: The platform provides role-wise dashboards where each role has its own dashboard and activities to be performed accordingly.
- Course Authoring Studio: A course authoring studio which helps to configure and author the course as per your requirements. Also, comes with a course catalogue.
- 20+ Types of Assessment: The platform empowers you to have 20 types of quizzes like MCQ, Text input, Numeric response, Checkboxes (multiple choice, multiple correct answers), File submission, and more.
- SCORM Compliant: Offers SCORM support via a third-party XBlock, providing seamless interoperability between content and learning management systems.
- iOS and Android Native Application: The platform supports both native applications like iOS and Android, so this is built with a mobile only approach for users/learners.
- PowerBI based Reports: Various reports and dashboards are shown publicly using Power BI as a data analytics tool, which helps decision makers to make the right decision.
- Discussion Forum: The discussion forum in the platform enables peer-to-peer discussion between users and authors, so the learners can ask the question that can be answered by the course author.
- Other Features: Additional features include 1). Digital CV 2). Zoom integration for courses and webinars 3). Auto-graded assignments 4). WhatsApp & Push Notifications 5). Reports and more.
Business Impact
This platform has significantly transformed the way learners access skill development opportunities, creating measurable outcomes for both the users and administrators.
Due to the platform, more than 5.5 million registrations and 1 million successful enrollments were achieved, making skill development available nationwide.
Learners gained the required skills and access to job opportunities with the integrated job marketplace.
Power BI analytics and reporting tools allowed admins to track progress, identify gaps, and improve skilling initiatives.
The AI recommendation improved course engagement by suggesting required learning paths for user profiles.
Multilingual support and mobile apps made sure that learners from different regions could participate effectively.
Technology Stack
Frontend
React JS
HTML 5
CSS3
Mako
JQuery
JavaScript
BackboneJS
External Services
Celery
Elasticsearch
Redis
uWSGI
Caddy Server
Backend
Python
Django
ROR
Databases
MongoDB
MySQL
Mobile App
iOS and Android
React Native
Conclusion
The digital learning platform reinvented skilling and upskilling across the nation by joining personalization, accessibility, and engagement together in a single solution. The platform powered millions of learners while connecting them to the right employment opportunities. The solution also enhanced learning outcomes, but also fortified the entire skill environment, which made quality education and employment scalable.
How Did DRC Systems create a SaaS platform that directly allowed people to save substantial amounts of money?
Overview of the Project
A common man is always short of income and high of expenses. No matter how wisely he spends his money, there is always room for inadequacy; the reason is the endless list of bills, be it grocery, internet, and most importantly, electricity. But we have heard every common man getting troubled the most by electricity bills that wrack everyone’s nerves every quarter. Having said that, this is not an issue that just a common man faces, it’s a global problem. But what can be a better solution than the usage of solar energy to demolish this global issue from the routes?
Speaking of which, we have created a SaaS platform that is all about scaling up the solar energy business for our client which is an Australian company.
Client Requirements
Our client's vision encompassed the development of a cutting-edge SaaS platform, strategically designed to catalyze transformative growth. The platform's core objective revolves around harnessing disruptions to unlock opportunities and convert them into tangible value. This ambitious goal is achieved through a seamless fusion of design, analytics, strategic insight, and agile delivery. Our client's commitment extends beyond providing mere technological solutions – they pledge to cultivate an entire ecosystem.
In terms of fundamental functionalities, our client articulated clear expectations. The focal point was empowering solar enterprises to streamline operations through automated end-to-end process management. This encompassed every facet, from initial sales creation to grid integration and post-sales support.
In essence, this SaaS platform emerges as the quintessential solution for solar businesses and buyers alike. It serves as a dynamic nexus where dealers discover diverse solar market opportunities. Offering comprehensive end-to-end process management, automated financial transactions, and meticulous compliance oversight, this SaaS platform is meticulously crafted to propel your renewable energy journey forward.
Technology Stack
Mobile Applications
Android & iOS
Web Application
PHP utilizing Yii 2
API Integration
PHP Laravel
Database Management
MySQL
Tailored Solutions
In response to the client's distinct requisites, we diligently designed separate applications – one catering to solar panel installers and another catering to customers. This bifurcation ensures tailored features and functionalities that cater to the unique needs of both user segments.
Additionally, we seamlessly integrated a Stripe payment gateway, ensuring fluid and secure transactions between installers and customers.
Addressing the need for streamlined interactions, we developed a proposal generator module. This transformative addition augments the retailer's engagement by presenting meticulously structured proposal documents, enriched with comprehensive details.
Crafting Bespoke Solutions for Exceptional Outcomes
Recognizing the distinctiveness of your SaaS requirements, we specialize in crafting bespoke solutions that yield exceptional outcomes. Connect with us to embark on an efficient SaaS development journey that ensures your objectives are not only met but exceeded.
Certified
CMMI Level 3
Adobe Commerce Partner
14+
Years of Excellence
Hire Magento Ecommerce Developers To Craft Cutting-edge Ecommerce Solutions
Hire Magento 2 developers for Magento E-commerce development services to cater to the unique requirements of your business with our Adobe Commerce expertise. From the initial strategy of project ideation to deployment and maintenance, our team of Magento 2 experts can help you build an online store with end to end development lifecycle, providing full-scale assistance. As a prominent Magento development company, we create an E-commerce platform with Magento SEO expertise to reduce cart abandonment behavior signals ecommerce providing a seamless user experience.
We are a CMMI level 3 Magento 2 development company with time-tested expertise in building reliable online stores with unique features, functionality and integrating external resources. Our team of Magento 2 developers has delivered quality Magento omnichannel solutions enabling a proficient shopping experience across online and offline channels, including website, social media and physical stores.
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CMMI Level 3 Certified
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Adobe Commerce Experts
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Omnichannel Solutions
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End-to-End Lifecycle
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Seamless UX & SEO
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B2B & B2C Platforms
Clear Process to Hire Magento Experts
Our 4-step process connects you with Magento engineers in days, not months, ensuring a smooth collaboration and successful project launch.
Connect with Our Magento Developers
We provide a free consultation to help you connect with our Magento 2 experts for a smooth collaboration to discuss your E-commerce project requirements and get a detailed budget quote for your Magento 2 project.
Team Allocation
After the consultation and discussion, you will be assigned a team of Magento 2 professionals to kick-start your E-commerce project, including a project manager, Magento 2 developers and a QA engineer.
Schedule Interview
Once your Magento 2 team is final, you can schedule an interview with your team for further discussion of the initial strategy, deployment roadmap and maintenance with your team.
Team Onboarding Process
After the Interview process, you can access the highly qualified and experienced team of Magento 2 developers, accessing their technical skills with real-time progress and monitoring process.
What To Expect From DRC Systems
We go far beyond placing developers — we build partnerships, guarantee outcomes, and align with your business at every step.
Meet Your Developer Before Hiring
At DRC Systems, we believe in effective collaboration and transparent communication, enabling you to meet your developer/team before hiring via a short call interview so that you can evaluate their technical abilities and soft skills before finalizing.
Custom Hiring Model Recommendation
We provide custom hiring models for our clients with staff augmentation and dedicated team hiring that aligns with their business goals and budget to reduce production cost, enable timely delivery and mitigate labour shortages.
Backup Developer Guarantee
In case of unavailability from the developer, we assign a backup developer for your project to manage a determined deadline and complete the project with timely delivery, seamless workflow and output quality.
Business-Oriented Consultation
As a leading IT firm of Magento 2 solutions, our team of experts provides consultancy support in line with your company's objectives to boost productivity, reduce risks, and expedite digital transformation.
What our clients say
Make a smart choice today by hiring us because you need a team that understands you.
Herald Osborne
December 15, 2025
Our representatives will complete the project formalities, create a requirement-gathering document, and discuss details with you our representatives will complete the project formalities, create a requirement-gathering.
Herald Osborne
December 15, 2025
Herald Osborne
December 15, 2025
Our representatives will complete the project formalities, create a requirement-gathering document, and discuss details with you our representatives will complete the project formalities, create a requirement-gathering.
Herald Osborne
December 15, 2025
Herald Osborne
December 15, 2025
Our representatives will complete the project formalities, create a requirement-gathering document, and discuss details with you our representatives will complete the project formalities, create a requirement-gathering.
Why DRC Systems?
Craft Top-rated E-commerce Solutions with our battle-tested Magento 2 developers.
14+
Years of Experience
Over a decade of delivering enterprise-grade Magento solutions globally.
BSE
NSE Validated
Publicly recognized reliability backed by BSE & NSE stock exchange validation.
Strong
Global Presence
A strong footprint across North America, Europe, Middle East & Asia-Pacific.
End-to-end
development support
End-to-end development support from ideation through deployment & beyond.
Record
Financial Performance
Consistent record financial performance fueled by client success stories.