Academic Full Stack Project โข Microservices Architecture โข MERN โข AI Enhancement
Restaurant Management System is designed to digitize and automate restaurant operations including:
โ Authentication & Role Access
โ Table Reservation
โ Menu Management
โ Order Tracking
โ Employee Shift Management
โ Payment Processing
โ 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:
โ Delays
โ Human errors
โ 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:
๐ Owner/Admin
- Register users
- Assign roles
- Menu management
- Staff management
๐งโ๐ผ Receptionist
- Table reservations
- Booking updates
๐งโ๐ณ Chef
- Kitchen queue
- Order status updates
๐งพ 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:
โ Role-Based Access Control
โ Reservation System
โ Menu CRUD
โ Employee Scheduling
โ Order Tracking
โ Payment Processing
โ Future AI Recommendations
This project improves:
โ Operational Efficiency
โ Staff Coordination
โ Customer Experience
โ Restaurant Workflow Automation
โ Scalability
โ 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
โ Completed Academic Project
Prototype + Architecture + Design Documentation
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