Insurance Cost Predictor is a small ML app that estimates insurance costs from common demographic and health-related inputs. The goal is clarity and learning: understand which features move the price the most, and how a basic regression pipeline behaves end-to-end.
The model is trained with a clean preprocessing pipeline (categorical encoding + numeric scaling) and evaluated using standard regression metrics. The UI is deployed as a simple web app so anyone can try it without installing anything.
Tech Stack
Python · Pandas · NumPy · Scikit-learn · Gradio
Deployment
Live demo: https://huggingface.co/spaces/SajibXD/insurance-cost-predictor
