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🍽 Restaurant Management System

Role-Based Restaurant Operations Platform with Reservation, Orders, Staff & AI Recommendations

Academic Full Stack Project • Microservices Architecture • MERN • AI Enhancement


🚀 Overview

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.


🎯 Problem Statement

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.


🛠 Tech Stack

Frontend

React.js

Backend

Node.js
Express.js

Database

MongoDB

Authentication

JWT
bcrypt

Future AI Module

Python
FastAPI / Flask

Deployment (Planned)

Vercel / AWS / Heroku


👥 User Roles

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}


✨ Core Features

🔐 Authentication

Owner-controlled registration

Role-based login

Secure access

Session timeout


🍽 Table Reservation

Reserve tables

View availability

Manage bookings


📋 Order Management

Real-time order handling

Kitchen notifications

Status updates


🥘 Menu Management

CRUD operations

Real-time updates


👨‍🍳 Employee Shift Scheduling

Assign shifts

Track conflicts

Notifications


💳 Payment Handling

UPI

Cards

Wallets


🤖 AI Recommendation (Future Scope)

Suggest best-selling dishes

Analyze customer behaviour

Recommendation engine


🏗 Architecture

This project follows:

Microservices Architecture

API Gateway

Separate services:

Authentication

Reservation

Menu

Orders

Payments

Shift Management

AI Recommendation

Architecture diagram from report:


🖥 Screenshots

Login Page


Landing Dashboard


📊 Functional Highlights

✔ Role-Based Access Control

✔ Reservation System

✔ Menu CRUD

✔ Employee Scheduling

✔ Order Tracking

✔ Payment Processing

✔ Future AI Recommendations


📈 Project Outcomes

This project improves:

✔ Operational Efficiency

✔ Staff Coordination

✔ Customer Experience

✔ Restaurant Workflow Automation

✔ Scalability

✔ Security

Based on report conclusions. :contentReference[oaicite:3]{index=3}


🔮 Future Enhancements

Planned:

  • Mobile App
  • AI Dish Recommendation
  • Inventory Management
  • Waste Tracking
  • Customer Reviews

:contentReference[oaicite:4]{index=4}


👨‍💻 Team

Mugash Priyan U

S Kishor

Prasanth B

Guided by:

Dr. B Prabhu Kavin

SRM Institute of Science & Technology


📌 Status

✅ Completed Academic Project

Prototype + Architecture + Design Documentation


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Role-based Restaurant Management System with reservations, orders, staff scheduling, payments & future AI recommendations

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