Heart Disease Prediction and Symptom Analysis System Project

The Heart Disease Prediction and Symptom Analysis System is an AI-driven healthcare platform developed to assist users in identifying potential heart diseases through symptom-based analysis. The application allows users to register, log in, and interact with a chatbot that accepts symptoms as input. The system preprocesses the symptoms, validates them against a predefined medical dataset, and utilizes a trained machine learning model to predict the most probable disease. The platform incorporates symptom correction using fuzzy matching techniques, ensuring better prediction accuracy even when users enter symptoms incorrectly. The prediction engine processes symptom data using a pre-trained model and returns disease predictions along with healthcare recommendations. The system aims to provide an accessible and user-friendly preliminary diagnostic tool while encouraging users to seek professional medical consultation for accurate diagnosis and treatment.