Skill Bolt
Initializing Platform
Skill Bolt
Marketplace Services Custom Projects Customization About Blog Contact Affiliate Program
Login Get Started Free

Connect with us

website Development v1.0.0 Intermediate Free

OrderSetu – AI-powered smart restaurant ordering and management system

0.0 (0)
0 Downloads
Updated 2 months ago

Full-stack MERN restaurant ordering system with role-based access, real-time updates, and AI menu assistance.

Technologies & Skills

MongoDB Express React Node Web Socket MongoDB Atlas JWT Authentication Render Vercel
FREE

Download at no cost

What's Included

Complete Source Code
Documentation
Project Report
Presentation Slides
External Download Link

Support & Customization

Support: None
Custom modifications not available
File Size 41.46 MB
Last Updated Jul 01, 2026
Delivery External Link

Resource Links

Open Presentation Slides

OrderSetu is a full-stack MERN web application built for restaurant ordering and management. It provides a single platform where restaurant owners, chefs, waiters, and customers can work together efficiently to handle menus, orders, and daily restaurant operations. The project is designed to streamline communication and improve workflow across different restaurant roles through a clean, role-based system.

The application includes user authentication with secure JWT-based login and registration, ensuring that only authorized users can access the right features. It supports multiple roles — Owner, Chef, Waiter, and Customer — each with a dedicated dashboard and responsibilities. Owners can manage the restaurant setup and monitor operations, chefs can track and update orders in real time, waiters can assist with order handling, and customers can place requests smoothly through the platform.


One of the key strengths of OrderSetu is its real-time order management. Using WebSockets, the app keeps orders updated instantly across the system, reducing delays and improving coordination between staff members. This helps restaurants handle live order flow more effectively and ensures that updates are reflected without manual refreshes.


OrderSetu also includes AI-powered features to enhance the user experience. With Groq API integration, the application can generate helpful menu descriptions, making the platform smarter and more useful for restaurant operations. Along with this, the frontend is built using React and Vite, offering a fast, responsive, and modern user interface that works smoothly across devices.


On the backend, the project uses Node.js, Express.js, and MongoDB Atlas to manage server logic, APIs, and data storage. The system is deployed with the frontend on Vercel and the backend on Render, making it production-ready and accessible online. The repository also includes a well-structured project layout, environment configuration, and deployment notes, showing that the project is organized and fully maintained.

Overall, OrderSetu is a practical and scalable restaurant management solution that combines modern web development, role-based access, real-time communication, and AI assistance to improve restaurant operations and user experience/


Future Enhancements

  • Google Authenticated Mail Id
  • Horizontal Scaling
  • Improve UI/UX

Known Issues

  • JWT Token was stored in Local Storage
  • Fake mail Id can be used to register not Google Authenticated
  • High Latency to retrive information from the Database

Installation

For OrderSetu, the local setup is straightforward: go into backend, run npm install, then npm start; for the frontend, go into frontend, run npm install, then npm run dev.github


Required environment values

Backend needs PORT, MONGO_URI, JWT_SECRET, JWT_EXPIRES_IN, FRONTEND_URL, and GROQ_API_KEY.github


Frontend needs VITE_BACKEND_URL, VITE_LINKEDIN_URL, VITE_MAIL, and VITE_GITHUB_URL.github

Quick run steps

  1. Clone the repository.
  2. Set the backend .env values.
  3. In one terminal, run the backend from backend.
  4. In another terminal, run the frontend from frontend.github


Usage

After installation, run the backend first, then the frontend, and open the app in your browser. The README says the project is already deployed too, so you can also use the live frontend directly.github


Local usage

  1. Open a terminal in backend.
  2. Run npm install if you have not already.
  3. Start the backend with npm start.
  4. Open a second terminal in frontend.
  5. Run npm install.
  6. Start the frontend with npm run dev.github

What you can do in the app

OrderSetu supports restaurant login and registration with role-based access for Owner, Chef, Waiter, and Customer.github


You can place and manage orders, use role-specific dashboards, and see real-time order updates.github


It also includes AI menu description generation using the Groq API.github

Deployed usage

The project README lists a live frontend and backend, so after installation you can also compare your local setup against the deployed version.github


For testing, the README provides sample credentials for Owner, Chef, and Waiter, plus the restaurant to select for customer testing.

System Requirements

The project runs on a fairly standard web-app setup: a machine with Node.js and npm, plus MongoDB Atlas access for the backend database, and a browser to use the frontend. The README does not list exact minimum CPU/RAM specs, so those are the practical software requirements it explicitly confirms.


Software requirements

  • Node.js and npm for both backend and frontend.
  • MongoDB Atlas connection string for the database.
  • A valid JWT_SECRET and Groq API key for authentication and AI features.
  • Browser access for the React/Vite frontend.

Environment setup

  • Backend .env: PORT, MONGO_URI, JWT_SECRET, JWT_EXPIRES_IN, FRONTEND_URL, GROQ_API_KEY.
  • Frontend .env: VITE_BACKEND_URL, VITE_LINKEDIN_URL, VITE_MAIL, VITE_GITHUB_URL.

Hardware requirements

The repository does not specify a minimum hardware configuration such as RAM, CPU, or disk space. In practice, any modern development laptop or desktop that can run Node.js, a browser, and connect to MongoDB Atlas should be sufficient.

Open Slides

No Q&A available yet

Be the first to ask a question!

Ask a Question

Customer Reviews

0.0 0 reviews
5
0
4
0
3
0
2
0
1
0

Write Your Review

No reviews yet

Be the first to review this project!

Related

Similar Projects

You might also be interested in these projects

WEB DEVELOPMENT
website Development
0.0 (0)
Intermediate
R
Rathnavath Vennela
Verified Seller
28% OFF

WEB DEVELOPMENT

Vadhuvara Wedding Films is a modern, fully responsive wedding photography website built using HTML, CSS, and JavaScript.

HTML5 CSS3 JavaScript Responsive Design CSS Animations
₹2,160 ₹3,000
View Project
Terra – Plant Shop E-commerce Web Application
website Development
FREE
0.0 (0)
Intermediate
A
Ashritha reddy Annareddy
Verified Seller

Terra – Plant Shop E-commerce Web Application

Responsive e-commerce plant store with live search, shopping cart, checkout, admin dashboard, and LocalStorage-based data persistence.

HTML5 CSS3 JavaScript (ES6) +2
COCOMO Estimation Tool - using React JS and Flask Framework
website Development
0.0 (0)
Intermediate
A
Amit Chausali
Verified Seller
20% OFF

COCOMO Estimation Tool - using React JS and Flask Framework

Calculate the effort, time, and cost of software projects using the COCOMO model

React JS Bootstrap Flask Framework
₹799 ₹999
View Project
Codnite
website Development
0.0 (0)
Intermediate
I
Isha
Verified Seller
14% OFF

Codnite

Codnite is a real-time collaborative coding platform featuring live programming battles, secure code execution, and interactive technical blogging.

React 18 TypeScript Vite +22
₹5,100 ₹5,900
View Project