Multiple Disease Prediction System

Overview

This project aims to develop a comprehensive health prediction system leveraging artificial intelligence and machine learning. The focus is on predicting three major health conditions: diabetes, heart disease, and Parkinson's. By utilizing advanced predictive models, the system aims to assist in early diagnosis and proactive healthcare management.

Technologies Used

• Python
• TensorFlow/Keras
• Scikit-learn
• Flask (for web interface)
• HTML/CSS (for front-end design)
• GitHub Actions (for CI/CD)

How to Use

1. Clone the repository.
2. Install the required dependencies.
3. Run the application.
4. Input relevant health parameters.
5. Receive predictions for diabetes, heart disease, and Parkinson's.

Future Enhancements

• Integration with electronic health records (EHR) systems.
• Real-time monitoring and feedback for users.
• Expansion to include more diseases in the prediction system.