Diabetes Prediction Platform

This is a diabetes prediction platform where users can predict the likelihood of diabetes based on pregnancy and other health parameters. The backend is powered by FastAPI with a trained machine learning model, and the frontend is built with React and styled using Tailwind CSS.

Features

• Diabetes Prediction: Predicts diabetes risk based on user input.
• Interactive Form: Collects pregnancy and health data from users.
• Responsive UI: Clean and mobile-friendly interface with Tailwind.
• FastAPI Backend: Handles predictions and API requests efficiently.
• Model Training: Machine learning model trained to predict diabetes accurately.

Technologies

• React.js: Frontend library for dynamic and interactive UI.
• FastAPI: Python framework for building fast and efficient APIs.
• Tailwind CSS: Utility-first CSS framework for styling.
• Python ML: Model trained for diabetes prediction.

Deployment

The platform is deployed and accessible at: Diabetes Prediction

Conclusion

This project demonstrates a full-stack application combining machine learning with modern frontend development. Users can input personal health data and get quick predictions while enjoying a smooth and responsive interface.