Heart disease Prediction and analysis

An application that leverages neural networks to predict the likelihood of heart disease in users based on their health data. Features User Input: Users can input personal health metrics such as age, gender, blood pressure, cholesterol levels, and other relevant medical history. Neural Network Model: Implement a pre-trained neural network model that processes the input data to predict heart disease risk. The model can be based on existing datasets and algorithms from sources like Kaggle. Real-Time Feedback: Provide users with immediate feedback on their health status, including risk assessment and suggestions for lifestyle changes. Data Visualization: Include graphs and charts to help users understand their health metrics and the prediction results. Educational Resources: Offer information on heart disease, prevention strategies, and when to seek medical advice.