Cardiovascular Disease Prediction
An AI-powered healthcare platform for cardiovascular risk prediction and preventive care, built to bring clinical-grade intelligence to anyone — making medical AI accessible beyond hospital walls.
- Python
- Machine Learning
- Healthcare AI
- Predictive Analytics
- Vercel
01 / The gap
Problem
Cardiovascular disease is the leading cause of death globally, yet most risk-prediction tools sit behind clinical infrastructure — available only once you're already in front of a specialist.
Approach
An open-access machine learning model trained on validated datasets and deployed as a public web app, so anyone can get a preventive risk signal without gatekeeping.
02 / How it works
- Validated training data — the model is trained on established, peer-reviewed cardiovascular datasets rather than ad-hoc data.
- Risk prediction — standard clinical inputs produce an interpretable cardiovascular risk assessment.
- Preventive framing — surfaced as a prompt to act early, not a diagnosis.
- Deployed publicly — hosted on Vercel and openly accessible, no login or institutional access required.
03 / Scope & limits
This is a preventive screening aid, not a diagnostic device. It is built to help people notice risk early enough to raise it with a clinician — the goal is to widen access to a signal that usually requires clinical infrastructure, and it is not a substitute for professional medical advice, diagnosis, or treatment.