Academic Full Stack Project • Microservices Architecture • MERN • AI Enhancement
Restaurant Management System is designed to digitize and automate restaurant operations including:
✔ Authentication & Role Access
✔ Table Reservation
✔ Menu Management
✔ Order Tracking
✔ Employee Shift Management
✔ Payment Processing
✔ Future AI Dish Recommendation System
The system aims to reduce manual work, improve efficiency, and enhance customer experience.
Traditional restaurant workflows rely heavily on manual operations:
- Reservation handling
- Order processing
- Shift scheduling
- Menu updates
- Payment management
This increases:
❌ Delays
❌ Human errors
❌ Operational inefficiency
This project solves these using a centralized digital platform.
React.js
Node.js
Express.js
MongoDB
JWT
bcrypt
Python
FastAPI / Flask
Vercel / AWS / Heroku
The system provides dashboards for:
👑 Owner/Admin
- Register users
- Assign roles
- Menu management
- Staff management
🧑💼 Receptionist
- Table reservations
- Booking updates
🧑🍳 Chef
- Kitchen queue
- Order status updates
🧾 Waiter
- Orders
- Table handling
Manager
- Staff shifts
- Reports
(Role-based workflows from project design.) :contentReference[oaicite:2]{index=2}
Owner-controlled registration
Role-based login
Secure access
Session timeout
Reserve tables
View availability
Manage bookings
Real-time order handling
Kitchen notifications
Status updates
CRUD operations
Real-time updates
Assign shifts
Track conflicts
Notifications
UPI
Cards
Wallets
Suggest best-selling dishes
Analyze customer behaviour
Recommendation engine
This project follows:
Microservices Architecture
API Gateway
Separate services:
Authentication
Reservation
Menu
Orders
Payments
Shift Management
AI Recommendation
Architecture diagram from report:
✔ Role-Based Access Control
✔ Reservation System
✔ Menu CRUD
✔ Employee Scheduling
✔ Order Tracking
✔ Payment Processing
✔ Future AI Recommendations
This project improves:
✔ Operational Efficiency
✔ Staff Coordination
✔ Customer Experience
✔ Restaurant Workflow Automation
✔ Scalability
✔ Security
Based on report conclusions. :contentReference[oaicite:3]{index=3}
Planned:
- Mobile App
- AI Dish Recommendation
- Inventory Management
- Waste Tracking
- Customer Reviews
:contentReference[oaicite:4]{index=4}
Mugash Priyan U
S Kishor
Prasanth B
Guided by:
Dr. B Prabhu Kavin
SRM Institute of Science & Technology
✅ Completed Academic Project
Prototype + Architecture + Design Documentation
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