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Python-based heart disease detection system with tkinter UI. Utilizes ANN model trained on Indian hospital data for 97.40% accuracy. Provides personalized health reports and prevention recommendations.

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Shravan773/Cardiovascular-Disease-Prediction

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Heart Disease Detection System

Overview

This project is a heart disease detection system developed using Python and tkinter for the user interface. It utilizes machine learning techniques, particularly an Artificial Neural Network (ANN), to predict the likelihood of a person having heart disease based on various medical parameters. The dataset used for training the ANN has been collected from nearest hospitals in India.

Features

  • User-friendly interface developed with tkinter.

  • landing-page

  • Utilizes a trained ANN model to make predictions with an accuracy of 97.40% and built user-friendly patient-input form to enter details.Her is a Sample patient-form with data -patient-input-data

  • Generates a PDF report with the prediction result and recommendations for the user.

  • patient-report-generated

Installation

  1. Clone the repository:
    git clone https://github.com/your-username/heart-disease-detection.git
  2. cd heart-disease-detection
  3. pip install -r requirements.txt
  4. python main.py

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Python-based heart disease detection system with tkinter UI. Utilizes ANN model trained on Indian hospital data for 97.40% accuracy. Provides personalized health reports and prevention recommendations.

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