AI Powered Health Insurance Analytics
Predict insurance costs using Machine Learning. Score risk, segment customers, and generate underwriting recommendations — all in one dashboard.
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Model accuracy
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Predictions served
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Avg. response time
Four models, one dashboard
Every prediction run chains four purpose-built models to give you a complete picture of a policyholder.
Insurance Prediction
Estimate annual insurance charges from age, BMI, smoking status, and dependents using a trained regression model.
Risk Assessment
Get a 0–100 risk score and category so underwriters can gauge exposure at a glance.
Customer Segmentation
Automatically classify each customer into a meaningful cohort — from Young Healthy Adult to High Risk.
Underwriting
Turn risk score, predicted charges, and claim probability into a clear underwriting recommendation.
Built on a proven ML stack
A Linear Regression model trained with Scikit-Learn powers cost prediction, served through a FastAPI backend, and rendered here in a real-time Next.js dashboard.
Linear Regression
Core prediction model
Scikit-Learn
Model training & inference
FastAPI
High-performance backend
Next.js
This frontend, server-rendered
Insights across every prediction
Aggregated, anonymized trends from the InsurAI model — illustrative sample data.