JENILP07/HealthSense-AI

HealthSense-AI is an advanced machine learning-powered healthcare application designed to assess and predict the risk of cardiovascular disease (CVD) in real-time.

19
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

TypeScript

License

MIT

Category

multi-disease-risk-assessment

Last pushed

Feb 25, 2026

Commits (30d)

0

GitHub
Multi-Disease Risk Assessment · 100 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JENILP07/HealthSense-AI"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

dssg/triage

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

76

shobhitsrivastava-ds/ML-MT-WebApp

This project is all about a Machine Learning based Medical Test web app which makes predictions...

50

kanchitank/Medibuddy-Smart-Disease-Predictor

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer,...

45

anujdutt9/Disease-Prediction-from-Symptoms

Disease Prediction based on Symptoms.

43

advikmaniar/ML-Healthcare-Web-App

This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like...

42

Explore ML Frameworks

All categories Trending ML Framework directory Insights