HealthSpectrum

A modern health analysis and reporting system built with the MERN stack.

🚀 Quick Start

Prerequisites

• Node.js (v16 or higher)
• MongoDB
• Git

Installation

1. Clone the repository

git clone https://github.com/yourusername/HealthSpectrum-1.git
cd HealthSpectrum-1

2. Install Server Dependencies

cd server
npm install

3. Install Client Dependencies

cd ../client
npm install

4. Set up Environment Variables

Server (.env):

PORT=5000
MONGODB_URI=mongodb://localhost:27017/healthspectrum
CORS_ORIGIN=http://localhost:5173

Client (.env):

VITE_API_URL=http://localhost:5000/api
VITE_CLERK_PUBLISHABLE_KEY=your_clerk_key

5. Start Development Servers

Server:

cd server
npm run dev

Client:

cd client
npm run dev

🛠️ Tech Stack

Frontend

• React with TypeScript
• Redux Toolkit
• Tailwind CSS
• Framer Motion
• Clerk Authentication

Backend

• Node.js & Express
• MongoDB with Mongoose
• JWT Authentication

📁 Project Structure

HealthSpectrum-1/
├── client/                 # Frontend React application
│   ├── src/
│   │   ├── components/    # Reusable components
│   │   ├── pages/        # Page components
│   │   ├── store/        # Redux store configuration
│   │   └── types/        # TypeScript type definitions
│   └── ...
└── server/                # Backend Node.js application
    ├── src/
    │   ├── controllers/   # Route controllers
    │   ├── models/       # Database models
    │   ├── routes/       # API routes
    │   └── utils/        # Utility functions
    └── ...

🔐 Authentication

This project uses Clerk for authentication. Make sure to:

1. Set up a Clerk account
2. Configure your application
3. Add the required environment variables

📄 API Documentation

API endpoints are documented in the server's README file.

🤝 Contributing

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

📝 License

This project is licensed under the MIT License.