The Insurance Risk Analysis and Prediction Model is an end-to-end solution for predicting insurance charges based on demographic and health-related factors. Utilizing Random Forest Regression, the model delivers accurate predictions with a robust evaluation pipeline. A Flask-based Web API powers the backend, while a responsive frontend built with Tailwind CSS ensures seamless user interaction. The application is hosted on Render, making it accessible for real-world usage.