Treatment AI Project 🧠💉

Welcome to the Treatment AI Project! This application leverages Gemini AI API to assist healthcare professionals in predicting treatment outcomes, recommending personalized treatment plans, and improving patient care efficiency without the need for complex machine learning model setup.

🛠️ Features

• Predictive Analytics: Utilize the Gemini AI API to forecast treatment success rates and possible outcomes.
• Personalized Treatment Plans: Generate customized treatment recommendations based on patient data via the Gemini AI API.
• Patient Data Management: Securely manage and analyze patient health records.
• Protected Routes: Safeguard sensitive patient and healthcare data.
• Admin Dashboard: Provide healthcare professionals with a comprehensive dashboard for monitoring patient treatment.

📁 Project Structure

The project is structured as follows:

/treatment-ai-project
├── /backend          # Server-side code
│   ├── /config       # Configuration files
│   ├── /controllers  # Business logic for routes
│   ├── /models       # Database models
│   ├── /routes       # API endpoints
│   └── /utils        # Utility functions
│
├── /frontend         # Client-side code
│   ├── /public       # Public assets
│   ├── /src          # React source files
│   │   ├── /components # Reusable components
│   │   ├── /pages      # Page components (Patient info, Treatment plans, etc.)
│   │   └── /store      # State management (e.g., Zustand, Redux)
│   └── package.json    # Project metadata and dependencies
│
├── /gemini-api       # Gemini AI API integration for treatment predictions
│   └── gemini.js     # API request and response handling logic
│
├── .env              # Environment variables
└── README.md         # Project documentation

📁 Setup Instructions

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/treatment-ai-project.git
   cd treatment-ai-project

2. Create a .env file in your root directory and add the following environment variables:

   MONGO_URI=your_mongo_uri
   PORT=5000
   JWT_SECRET=your_secret_key
   NODE_ENV=development
   GEMINI_API_KEY=your_gemini_api_key
   CLIENT_URL=http://localhost:5173
   USER=demo_user@example.com
   APP_PASSWORD=demo_password  
   
   

3. Install dependencies:

   # Navigate to the backend directory and install dependencies
   cd backend
   npm install
   
   # Navigate to the frontend directory and install dependencies
   cd ../frontend
   npm install

4. Run the backend server:

   cd backend
   npm run start

5. Run the frontend application:

   cd ../frontend
   npm run start

🚀 Usage

• Visit http://localhost:5173 in your browser to access the application.
• Healthcare professionals can log in to view and manage patient data, predict treatment outcomes, and generate reports via the Gemini AI API integration.

🤝 Contributing

Contributions are welcome! If you have suggestions for improvements, new features, or API enhancements, feel free to open an issue or submit a pull request.

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Thank you for checking out the Treatment AI Project! If you have any questions or need assistance, feel free to reach out.