This project predicts health insurance premiums based on user demographics, lifestyle, and medical history using a machine learning model.
It provides an interactive web interface where users can input details and get instant premium predictions.
🔗 Live App: Health Insurance Premium Predictor
✅ Predicts health insurance premiums based on multiple input factors
✅ Uses pre-trained ML models optimized for different age groups
✅ Performs feature encoding, scaling, and normalization for better accuracy
✅ Deployed on Streamlit Cloud for real-time access
- Python – Core programming language
- Pandas, NumPy – Data preprocessing
- Scikit-learn, XGBoost – Model training and scaling
- Joblib – Model serialization and loading
- Streamlit – User interface and deployment