HEALTH ANALYSIS PREDICTION APP

• Tech Stack: Python, scikit-learn, pandas, Logistic Regression ,matplotlib, seaborn, gradio
• Github URL: Project Link

🏥 Health Risk Prediction using Logistic Regression This project predicts real health risks (Low/High) based on personal health data, providing accurate, real-time predictions along with detailed reasoning to help users understand their health status.

🚀 Features: Inputs: Age, Gender, BMI, Blood Group, Glucose, Cholesterol, Blood Pressure, Family History, Existing Conditions Accurate Predictions: 85% accuracy, 80% precision, and an F1-score of 79% Actionable Insights: Offers personalized recommendations to improve health and well-being User-Friendly Interface: Seamless and intuitive for easy interaction