AI-powered automated checkout system using YOLO11 object detection and face recognition to eliminate queues and reduce checkout times at retail facilities

Web app to ease selection of similar items during online shopping

AI-powered smart cashier system that uses computer vision (YOLOv8) to recognize products via camera instead of barcode scanning, with a FastAPI backend, web interface, and ESP32 hardware feedback (LCD, LEDs, buzzer).

Enterprise-grade retail product classification using Azure AI. Features a hybrid pipeline with Custom Vision for niche SKUs, pre-built models for general tagging, and OCR for label metadata extraction. Includes a production-ready FastAPI gateway.

Smart Retail Self Analysis is a data-driven project that analyzes retail operations to provide insights into sales performance, customer behavior, and inventory trends. It helps businesses make smarter decisions by identifying patterns, improving efficiency, and optimizing overall store performance using automated analysis techniques.

AI-powered bookstore with multi-agent system, LangChain integration, and personalized recommendations.