🏥 CareConnect : Your AI Health Companion, Always Here to Care

An AI-powered healthcare consultation platform that provides medical image analysis and text-based health consultations using Google's Gemini Pro model.

🌟 Features:

• Medical Image Analysis: Upload and analyze medical images for preliminary insights
• Text-based Health Consultation: Interactive chat interface for health-related queries
• Responsive Design: Fully responsive interface that works across devices
• Real-time Analysis: Quick and detailed AI-powered responses
• Professional Format: Structured responses following medical consultation patterns

🛠️ Technology Stack

• Backend: Flask (Python)
• Frontend: HTML5, CSS3
• AI Model: Google Gemini Pro 1.5 (gemini-1.5-pro-002)
• Evaluation: Custom model evaluation framework

🚀 Installation

1. Clone the repository:

git clone https://github.com/yourusername/careconnect.git
cd careconnect

2. Install required packages:

pip install -r requirements.txt

3. Create an api_key.py file in the root directory:

api_key = "your-google-ai-api-key-here"

4. Start the application:

python app.py

💻 Usage

Image Analysis

1. Click on the "Image Analysis" tab
2. Upload a medical image using the upload button
3. Click "Analyze Image" to receive AI-powered insights
4. Review the detailed analysis provided

Text Consultation

1. Navigate to the "Text Consultation" tab
2. Type your health-related query in the chat input
3. Receive structured responses

📊 Model Evaluation

The project includes a comprehensive evaluation framework evaluate_model.py that assesses:

• Response Quality Metrics
• Section Coverage
• Medical Relevance
• Response Coherence
• Practical Advice
• Response Time

🎨 Project Structure

CareConnect/
│
├── static/
│   ├── uploads/                 # Image upload directory
│   └── main.css                 # Main stylesheet
│
├── templates/
│   └── index.html               # Main application template
│
├── app.py                       # Flask application
├── utils
│   └──evaluate_model.py         # Model evaluation framework
│
├── evaluation_plots
├── evaluation_results
├── api_key.py                   # API key configuration
├── uploads                      # Screenshots
├── requirements.txt
└── README.md                    # Project documentation

🙏 Acknowledgments

• Google Gemini AI for providing the AI model
• Flask community for the excellent web framework
• Contributors who helped improve the application