AI-Powered Restaurant Management and Food Ordering Platform

Project Code :TCMAJA1313

Objective

The main objective of this project is to develop a fully functional, scalable, and intelligent Restaurant Management and Food Ordering System that supports multiple user roles with clearly defined permissions and workflows. The system will Enable admins to manage all users, restaurants, categories, and deliveries.Allow owners to add, edit, and manage dishes, process customer orders, and handle returns.Let buyers browse dishes, receive AI-driven suggestions, place orders, manage their carts, and track past orders.

Abstract

This project introduces the AI-Powered Restaurant Management and Food Ordering Platform—an intelligent, multi-role web application designed to streamline restaurant operations, enhance customer experience, and optimize delivery logistics. The platform supports multiple user roles, including Administrator, Restaurant Owner, Buyer (Customer), and Delivery Partner, each provided with a dedicated interface and specific functionalities tailored to their roles.The system enables admins to manage users, oversee dishes and categories, assign and monitor delivery partners, and view payments. Restaurant owners can register, log in, add and manage their dishes, process orders, handle returns, and maintain their profiles. Buyers can browse and search dishes, add items to the cart, place orders, and access an AI-powered chatbot for personalized recipe suggestions. They can also track their order history and manage their profiles. Delivery partners, after receiving admin approval, can view assigned orders and update their delivery status in real time.The platform is developed using ReactJS for a responsive and dynamic frontend, Spring Boot for a robust and secure backend, and MySQL for efficient data storage. Integration with Gemini AI API enables advanced AI features like recipe suggestions through a chatbot, enhancing user engagement. The system ensures performance, scalability, and seamless user interaction, making it a modern solution for digital restaurant management and AI-driven food ordering.

Keywords: Restaurant Management System, Food Ordering Platform, Multi-Role System, AI Recommendations, Delivery Tracking, Recipe Suggestion Chatbot, User-Generated Orders, Scalable Web Application, Gemini API.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

HARDWARE REQUIREMENTS:

·         Processor: Intel i3 or higher

·         RAM: 4GB minimum

·         Hard Disk: 160GB minimum

SOFTWARE SYSTEM CONFIGURATION:

· Operating System: Windows 7/8/10

· Frontend: ReactJS

· Backend: Spring Boot with java

· Database: MySQL

· AI API: Gemini API (for chatbot & recommendations)

· IDE: IntelliJ IDEA & VS Code

Demo Video

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