Cardiovascular Disease Prediction Tool

This is a prototype of a Cardiovascular Disease Prediction Tool built using Dash, a Python web application framework. The tool allows users to input various health parameters and predicts the likelihood of having cardiovascular disease based on a trained machine learning model.

Features

• Inputs: Age, Gender, Height, Weight, Blood Pressure (Ap_hi, Ap_lo), Cholesterol, Glucose, Smoking status, Alcohol intake, Physical activity level
• Prediction button to generate results based on user inputs
• Displays prediction results along with accuracy of the model
• Uses a Gradient Boosting Classifier for prediction

>Screenshots

>How to Use

To use the tool, simply fill in the health parameters in the provided fields, then click the "Predict" button. The tool will generate a prediction of whether you have cardiovascular disease and display the result along with the model's accuracy.

>Contact

If you have any questions or feedback about this tool, please contact us at abhishekanumalla@gmail.com.