Developed a web-based application using Streamlit and Python to predict diabetes risk based on user health data. The system leverages machine learning (Logistic Regression) to analyze inputs like glucose levels, BMI, and blood pressure. It provides instant risk assessments, health recommendations, and generates a downloadable PDF report for users. The UI is designed with a clean, responsive layout, including custom styling and interactive navigation.