AI-Powered Retail Checkout System

1. Project Title
Smart Auto Checkout System – Like Amazon Go (Face Recognition + Item Tracking + Auto Payment)

2. Overview
I want to build an AI-powered smart checkout system for a retail store. The system should identify a user via face recognition at the entrance, detect actions like picking up or placing back items via surveillance cameras, track them in real-time, and charge the user automatically before exit. It should also show the cart in a mobile/web app linked to the user.

3. Key Features
- Face recognition at store entrance

- Action recognition from surveillance cameras (using YOLO or similar)

Reach to shelf

Pick up item

Place back item

Inspect product

- Live cart update for each user

- Payment integration (dummy or real)

- Admin panel to track inventory and sales

4. Deliverables
AI model(s) trained for action recognition from video

Working codebase for face recognition login

Real-time tracking and item list per user

Mobile/web interface to show user cart

Payment module (can be dummy)

Documentation + demo video

5. Tech Stack Preference (if any)
Python (preferred)

Computer vision +LSTM/ TensorFlow / OpenCV

Flask / Django backend

MySQL or Firebase DB

Android/iOS App or ReactJS web app