Health Risk Prediction System

This project is a machine learning-powered web application that predicts an individual's risk of developing diabetes and heart disease based on medical and lifestyle inputs.

The system uses supervised learning algorithms trained on publicly available healthcare datasets to generate a probability-based risk score along with model explainability insights.

The application is designed as a stateless, privacy-focused system — user inputs are processed in real time and are not stored in any database.