Cyberbullying Comment Detection Project

Overview

This project aims to develop a cyberbullying comment detection system integrated into a social media website. The system utilizes various technologies including Vite + React for the frontend, Express.js for the backend, MongoDB for the database, Clerk for authentication, Material UI for UI components, Axios for HTTP requests, dotenv for environment variables management, and a GPT API for bullying comment detection.

Features

1. User Authentication: Users can log in using Google or password-based authentication provided by Clerk.
2. Comment Posting: Users can post comments on the social media website.
3. Bullying Comment Detection: Comments posted by users are analyzed by the backend to detect bullying content using the GPT API.
4. Alert System: If a comment is identified as bullying, an alert is displayed on the website and an email notification is sent to the user.
5. Automatic Ban: If a user posts more than 5 bullying comments, they are automatically banned from posting further comments.

Technologies Used

• Frontend:

  • Vite + React
  • Material UI

• Backend:

  • Node.js
  • Express.js
  • MongoDB

• Authentication:

  • Clerk

• HTTP Requests:

  • Axios

• Environment Variables Management:

  • dotenv

• Bullying Comment Detection:

  • GPT API

Setup Instructions

1. Clone the repository from GitHub.

   git clone https://github.com/tomsabu444/BullyBarrier-miniproject.git

2. Navigate to the project directory.

   cd BullyBarrier-miniproject

3. Install dependencies for both frontend and backend:

   npm install

4. Set up environment variables:

   • Copy the .env.example file and rename it to .env.
   • Add necessary environment variables such as database connection string, API keys, etc.

5. Start the backend server: cd server

   npm run server

6. Start the frontend development server: cd client

   npm run dev

7. Access the application through the provided URL.

Contributors

• Tom Sabu
• Sam mathew
• Jyothsnabey
• Roshan Jacob