Smart Diagnostic System for Health Risk Assessment

The document discusses WomenCare, a web-based system designed to predict the risk of polycystic ovarian disease (PCOD) in women using a Logistic Regression machine learning model. It evaluates risk based on factors like age, BMI, menstrual cycle, weight gain, hair growth, acne, diet, and exercise. The system, deployed via a Flask-based application, provides secure login, real-time predictions, automatic BMI calculation, and downloadable health reports. It categorizes users into Low, Medium, and High risk groups, offering explanations for the risk levels. While not a substitute for professional diagnosis, WomenCare aims to aid early screening and awareness, encouraging timely medical consultation.