Chat Application with AI

Overview

This project is a real-time chat application with an integrated AI bot. It allows users to communicate with each other in real-time and interact with an AI assistant for information or help.

Features

• Real-time messaging using WebSocket
• User registration with unique usernames
• Public chat room for all users
• Integration with Vishwaguru AI bot
• Distinct message styling for AI responses
• Responsive web design for desktop and mobile use

Technologies Used

• Frontend: HTML, CSS, JavaScript
• Backend: Java with Spring Boot
• WebSocket: SockJS and STOMP
• AI Integration: Ollama

Prerequisites

• Java JDK 11 or higher
• Maven
• Ollama setup for AI integration

Setup and Installation

1. Clone the repository:

   git clone https://github.com/Shivam-2310/ai-powered-chat-app
   cd chat-application
   

2. Install backend dependencies:

   mvn install
   

3. Install frontend dependencies:

   cd src/main/resources/static
   npm install
   

4. Configure Ollama:

   • Ensure Ollama is installed and running on your system
   • Update the application.properties file with your Ollama configuration

5. Build the project:

   mvn clean package
   

6. Run the application:

   java -jar target/chat-application-0.0.1-SNAPSHOT.jar
   

Usage

1. Open a web browser and navigate to http://localhost:8080
2. Enter a username to join the chat
3. Start chatting with other users in the public chat room
4. To interact with Vishwaguru AI, start your message with @vishwaguru, for example:

   @Vishwaguru Write about features of Java ?
   

Project Structure

• src/main/java/com/shivam/chat/: Java source files
  • config/: WebSocket configuration
  • controller/: WebSocket event handlers
  • model/: Data models
  • service/: Business logic and AI integration
• src/main/resources/static/: Frontend resources
  • js/: JavaScript files for WebSocket handling and UI
  • css/: Stylesheets
  • index.html: Main HTML file

Contributing

Contributions to improve the chat application are welcome. Please follow these steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature/AmazingFeature)
3. Make your changes
4. Commit your changes (git commit -m 'Add some AmazingFeature')
5. Push to the branch (git push origin feature/AmazingFeature)
6. Open a Pull Request

Acknowledgments

• Spring Boot for the robust backend framework
• SockJS and STOMP for WebSocket implementation
• Ollama for AI integration capabilities