TabMenu.AI is a next-generation, production-grade full-stack restaurant automation ecosystem. By scanning dynamic, table-specific cryptographic QR codes, customers can instantly browse menus, place orders, make seamless payments, and page floor staff in real time. The platform features an AI-driven text sentiment engine that processes post-dining feedback to alert administrators of critical operational issues instantly.
The system utilizes an advanced Role-Based Access Control (RBAC) architecture to isolate workflows and optimize restaurant floor dynamics through four core dashboards:
- 📱 Customer Interface: Triggered via dynamic QR scans mapping explicit table numbers. Handles cart operations, persistent WebSocket waiter attention calls, real-time order tracking, digital checkouts, and post-dining text reviews.
- 👨🍳 Kitchen Dashboard: Receives live order tickets instantly through WebSocket pipelines. Features state transitions (
Pending➡️In Progress➡️Ready for Dispatch) with automated order sequence timers. - 💼 Waiter Portal: Displays real-time flash notifications for active tables requiring physical service or payment assistance, linked directly to WebSocket broadcast rings.
- 📊 Admin Management Center: High-level dashboard for inventory data modifications, menu price scheduling, multi-role account provisions, and live visualization of the NLP sentiment analysis system.
- 🔗 Cryptographic Table Routing: Dynamically generates and processes unique QR codes to isolate distinct table index numbers securely, eliminating faulty manual ordering configurations.
- ⚡ Bidirectional Real-Time Synchronization: Powered by Socket.io to bridge asynchronous communications instantly across Customers, Waiters, and the Kitchen staff.
- 🧠 PyTorch NLP Feedback Classifier: Built a text-classification pipeline that automatically scans customer feedback strings to isolate negative sentiment flags and alert Admins for rapid service recovery.
- 💳 Transactional Order-to-Payment Pipelines: Features atomic database state machines mapping successful checkouts to distinct order sheets with zero synchronization slip.
- 🔒 Granular Token Authentication: Secures sensitive api routes across Kitchen, Admin, and Waiter dashboards using robust server-validated JSON Web Tokens (JWT).
- React.js – Component-driven architecture with clean, responsive contextual hook states.
- Tailwind CSS – High-performance utility-first styling for mobile, tablet, and desktop viewports.
- Node.js & Express.js – Event-driven, scalable application server layer routing core transactions.
- FastAPI – High-performance asynchronous Python gateway running machine learning validation threads.
- PyTorch & Scikit-learn – Core model building, token optimization, and sentiment text classification.
- Socket.io – Low-latency WebSockets for multi-role instantaneous event broadcasts.
- MongoDB & Mongoose – Document-oriented data modeling utilizing strict relational validation schemas and ACID-compliant transaction controls.
TabMenu.AI/
├── frontend/ # React.js SPA Dashboard Views
│ ├── src/
│ │ ├── components/ # Reusable UI Element Cards (Cart, QR Scanner)
│ │ ├── context/ # Global State Management (Auth, Socket rings)
│ │ └── pages/ # Customer, Waiter, Kitchen, Admin dashboards
├── backend/ # Node.js Enterprise REST API Gateway
│ ├── controllers/ # Transactional API Handler Logic
│ ├── middleware/ # JWT Authorization & Route Guards
│ ├── models/ # Schema definitions (Users, Orders, Tables)
│ └── routes/ # WebSocket & REST endpoints
├── ai-service/ # Python FastAPI Machine Learning Workspace
│ ├── models/ # Saved Weights for Text Sentiment Classifier
│ ├── pipeline/ # Preprocessing text vectors & NLP Tokenization
│ └── main.py # REST gateway connecting to the Node.js server
└── README.md
git clone [https://github.com/Shrey1006/MenuQR.git](https://github.com/Shrey1006/MenuQR.git)
cd MenuQRShreyansh Mojidra Computer Engineering Student
Veermata Jijabai Technological Institute (VJTI), Mumbai, India
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