Advanced Real-Time Chat Application with Sentiment Analysis

Overview

This project is a full-stack, real-time chat application built with the MERN stack (MongoDB, Express.js, React, Node.js) and Socket.IO. It features user authentication, multiple chat rooms, sentiment analysis, and a responsive UI.

Live Demo

Features

• User Authentication (Sign up / Sign in)
• Multiple Chat Rooms
• Real-time Messaging
• Message Sentiment Analysis
• Emoji Support
• Message Deletion
• Typing Indicators
• Online Users List
• Responsive Design

Technologies Used

Frontend

• React.js
• Material-UI
• Socket.IO Client
• Axios for HTTP requests
• React Router for navigation
• Emoji-Mart for emoji picker
• Moment.js for time formatting

Backend

• Node.js
• Express.js
• MongoDB with Mongoose
• Socket.IO
• JSON Web Tokens (JWT) for authentication
• Bcrypt for password hashing
• Sentiment for message sentiment analysis

Getting Started

Prerequisites

• Node.js
• MongoDB

Installation

1. Clone the repository

git clone https://github.com/Rohitbadekar-639/real-time-chat-sentiment-app cd advanced-chat-app

2. Install server dependencies

cd server npm install

3. Install client dependencies

cd ../client npm install

4. Set up environment variables Create a .env file in the server directory with the following:

MONGODB_URI=your_mongodb_connection_string JWT_SECRET=your_jwt_secret PORT=5000

5. Start the server

cd ../server node server.js

6. Start the client

cd ../client npm start

7. Open http://localhost:3000 in your browser

Usage

1. Register a new account or log in
2. Select a chat room to join
3. Start chatting!
4. Use the emoji picker to add emojis to your messages
5. View sentiment analysis for each message
6. See who's online and who's currently typing

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Project Link: https://github.com/Rohitbadekar-639/real-time-chat-sentiment-app