HealthPulse

Overview

HealthPulse turns trained clinical prediction models into a usable product — Flask APIs, MongoDB persistence, and a dashboard for real-time predictions.

Highlights

• Built ML models for Diabetes and Heart Disease prediction with Python and Scikit-Learn.
• Achieved 82% accuracy (Diabetes) and 79% accuracy (Heart Disease) on held-out test data.
• Designed a Flask backend with MongoDB integration.
• Deployed an interactive dashboard enabling real-time predictions for users.

Why it matters

The project bridges model training and product delivery: persistence, API contracts, and a UI that non-ML users can actually operate.