A Python project that analyzes medical examination data and generates insightful visualizations. It produces categorical bar plots and correlation heatmaps to explore health-related metrics.

SEHAT is an interactive Predictive Health Application using Streamlit and machine learning models to forecast diabetes and heart disease risks based on user health parameters. Enhance your health awareness with immediate insights and proactive management tools.