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🏠 Chatter Box Application - Home Page

Welcome to the Chatter Box Application GitHub Wiki! 🚀

Chatter Box is a full-stack chat application that allows users to chat in real-time and interact with AI models like GPT, Grok, Bedrock, and Claude. It is designed to be fast, scalable, and AI-powered, making conversations smarter and more interactive.

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📌 Features

✅ Real-time Chat using WebSockets
✅ AI Model Integration (GPT-3, Grok, Bedrock, Claude)
✅ User Authentication (JWT-based Login/Signup)
✅ Chat History & Message Storage
✅ File Sharing & Media Support
✅ AI Response Caching for Performance
✅ Secure & Scalable Architecture

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📜 Table of Contents

📌 Roadmap – Development Plan & Milestones
📌 Project Setup – How to install & run the project
📌 Architecture – System design & components overview
📌 API Documentation – REST & WebSocket API details
📌 Deployment Guide – How to deploy on AWS, Heroku, etc.
📌 Testing & Debugging – How to test the application

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📦 Tech Stack

Technology	Usage
React.js	Frontend UI
Spring Boot	Backend API & WebSockets
PostgreSQL / MongoDB	Database for users & messages
WebSockets (STOMP)	Real-time chat
AI APIs (GPT, Grok, Bedrock, Claude)	AI Model integration
JWT Authentication	Secure user login
Docker & Kubernetes	Containerization & Scaling
AWS / DigitalOcean	Deployment

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🚀 Getting Started

To set up the project locally, follow these steps:

🔧 Prerequisites

• Node.js & npm installed
• Java 17+ installed
• PostgreSQL or MongoDB set up

💻 Clone the Repository

git clone https://github.com/SlenderShield/ChatterBox.git
cd ChatterBox

📌 Run Backend (Spring Boot)

cd backend
mvn spring-boot:run

🌐 Run Frontend (React)

cd frontend
npm install
npm start

For full setup details, check the Project Setup Guide.

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🔗 Contributing

Want to contribute? Check out our Contributing Guide for guidelines! 🎯

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📩 Contact & Support

If you have any questions or feature requests, feel free to open an Issue or reach out to the maintainers!