Heart Disease Prediction System Using Machine Learning and Different Classification Techniques Like KNN and Naive Bayes

The Heart Disease Prediction System is a web-based application that predicts the risk of heart disease using machine learning algorithms such as KNN and Naive Bayes. It allows users to input clinical parameters like age, blood pressure, cholesterol, and other health factors. The system processes this data and provides real-time prediction results through an interactive interface. It is developed using React for frontend, Node.js and Express.js for backend, Flask for model integration, and MongoDB for data storage. The system aims to assist in early detection of heart disease and support better healthcare decisions.