MedPredict is a machine learning–based application that predicts hospital/medical insurance costs based on user input such as age, BMI, smoking status, and other factors. The project aims to demonstrate data analysis, model training, and deployment using Streamlit.
Healthcare costs can be difficult to estimate in advance. MedPredict helps users get an estimated medical cost using a trained machine learning model built from historical insurance data.
This project includes:
Data analysis (EDA)
Model training and evaluation
A Streamlit web app for predictions
📂 Repository Structure