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.
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 wealthBring all kinds of financial and asset information into a single and easy-to-access platform.
- Advanced integrationsAllow integrations with third-party applications like open banking APIs, payment gateways, and document management systems.
- Strong securityMake sure that stringent data protection and compliance with government regulations are maintained, which includes data privacy and financial compliance laws.
- Simple user experienceCreate a user-friendly interface to simplify complex tasks and make them more intuitive for individuals and families.
- Miscellaneous additionsTransform 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.
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.
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.