AdherenceAI

AdherenceAI is an AI-powered system designed to monitor and improve patient medication adherence. This project leverages machine learning to analyze patient data and provide intelligent reminders and insights to enhance treatment outcomes.

Features

• Predict medication adherence using machine learning models
• User-friendly interface for patients to log medication intake
• Intelligent reminders and notifications
• Visual analytics dashboard for healthcare providers

Technologies Used

• Python & Flask for backend
• TensorFlow / Keras for machine learning
• SQLite or PostgreSQL for database
• HTML, CSS, JavaScript for frontend

Project Structure

AdherenceAI/
├── app/               # Flask application files
├── models/            # Machine learning models
├── static/            # CSS, JavaScript, images
├── templates/         # HTML templates
├── database/          # Database schemas and scripts
└── README.md          # Project documentation

Getting Started

1. Clone the repository:

   git clone https://github.com/Beke1e/AdherenceAI.git
   cd AdherenceAI

2. Create and activate a virtual environment:

   ```bash
   python -m venv venv
   venv\Scripts\activate  # Windows
   # source venv/bin/activate  # macOS/Linux
   ```

3. Install dependencies:

   ```bash
   pip install -r requirements.txt
   ```

4. Run the Flask app:

   ```bash
   python app.py
   ```

## Contributing

Feel free to fork the repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.

## License

This project is licensed under the MIT License.

## Contact

**Bekele Mulat Enyew**
[GitHub](https://github.com/Beke1e) | [LinkedIn](https://www.linkedin.com/in/bekele-enyew-9b44a4108/) | [Website](https://bekemuler.pythonanywhere.com/)

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