AI Powered Diabetes and Heart Disease Risk Predictor

AI Powered Diabetes and Heart Disease Risk Predictor Dr SATHYA S ASHWATH RAJ R VASANTHAKUMAR B MAGESHWARAN M

AI-POWERED DIABETES & HEARTDISEASERISK PREDICTOR is a web-based application that uses artificial intelligence to predict the risk of diabetes and heart disease based on user-provided health parameters such as age, BMI, blood pressure, blood sugar, cholesterol levels, and lifestyle habits. Users enter their data through an interactive web form built with HTML, CSS, and JavaScript, and the system it using a machine learning model, either in-browser or via a backend API. The results are displayed visually with color-coded risk levels and charts, making it easy to understand, and the application can also provide preventive suggestions for high-risk users. This project combines Al and web development, offering a practical tool for early detection and promoting preventive healthcare. This project not only demonstrates practical Al and web development skills but also addresses a critical healthcare need by promoting early detection, raising health awareness, and encouraging proactive preventive measures, making it both technically impressive and socially impactful. Early detection of lifestyle diseases such as diabetes and cardiovascular disease is crucial, as these conditions often develop silently without obvious symptoms in initial stages. Many individuals fail to undergo regular health check-ups due to lack of awareness, cost, or accessibility. This project aims to bridge that gap by providing an AI-based predictive system that can estimate disease risk instantly using basic health parameters, enabling users to take preventive action at an early stage.
05 05 2026 1 9 10.55041/ijsmt.v2i5.036 https://ijsmt.org/article/ai-powered-diabetes-and-heart-disease-risk-predictor/