SCU Heart Guard - AI Cardiac Diagnostic Tool

Developed an end-to-end Machine Learning system to predict heart disease risks. Features include a Random Forest prediction engine, a Streamlit-based dashboard, and an automated Arabic voice support system for emergency guidance. Focused on high accuracy and user accessibility in medical diagnostics.

Skills: Python, Scikit-Learn, Streamlit, Machine Learning, MLOps.