DineAI

Contributors

• Elias Benbourenane - Back-end Developer
• Greyson Barsotti - Front-end Developer
• Nick Cao - Backend-Developer
• Xingcheng Qian - Front-end Developer
• Xingyu Song - Project Management and Testing

Project Overview

This project is a web-based extention prototype that allows users to interact with the menu of a specific organization. Users register and log in, rate and comment on individual menu items, filter dishes based on categories and ratings, view AI generated conclusive reviews, and manage a cart of selected items.

Features

• User Authentication: Users can register, log in, and maintain active sessions with email-based authentication.
• Menu Item Rating & Commenting: Users can rate dishes from 1-5 stars and leave comments about their dining experience.
• Category Filter: Users can filter menu items by categories (e.g., appetizers, main courses, desserts).
• Sorting: Users can sort dishes by rating (highest to lowest, lowest to highest) and by the number of reviews.
• AI Generated Review: Users can view AI generated conclusive reviews based on previous user entries.
• Cart Management: Users can add items to a cart, view selected items, and remove them if desired.

Technologies Used

• Frontend: React.js, HTML, CSS
• Backend: Java, Spring Boot
• Database: SQLite
• Authentication: Email-based authentication
• CI/CD: Selenium for automated testing

Getting Started

Prerequisites

To run this project locally, you’ll need the following:

• Node.js (for React frontend)
• Java (for Spring Boot backend)
• SQLite (for the database)

Installation Steps

1. Clone the repository:

   git clone https://github.com/yourusername/cs1530_group11.git
   cd cs1530_group11
   

2. Set up the backend:

   • Navigate to the backend directory:

     cd backend

   • Install dependencies:

     mvn install

   • Run the backend server:

     mvn spring-boot:run

3. Set up the frontend:

   • Navigate to the frontend directory:

     cd frontend

   • Install dependencies:

     npm install

   • Run the frontend:

     npm start

4. Access the app: Open your browser and go to http://localhost:3000 to access the platform.

Usage

• Register a new user or log in with your existing account.
• Browse the menu, filter by category, and sort by ratings or reviews.
• Rate and comment on dishes.
• Add your favorite dishes to the cart.

Future Enhancements

• Enhance user profile management (view past reviews, ratings, and cart history).
• Support for multiple restaurant menus in the future.
• Better response performance