Heart Disease Prediction using Machine Learning

This repository contains a Machine Learning project that predicts the likelihood of heart disease based on various health metrics. Built with Keras and Flask, it serves as a great starting point for anyone looking to dive into the practical aspects of Machine Learning.

Table of Contents

• Features
• Installation
• Usage
• Contribute
• License

Features

• Data Analysis: Comprehensive exploratory data analysis (EDA) on the heart disease dataset.
• Model Building: A Keras-based deep learning model to predict heart disease presence.
• Web Interface: A Flask-powered web interface to input health metrics and receive predictions.

Installation

1. Clone this repository:

   git clone https://github.com/balajivis/modern-ai-pro.git

2. Install the required packages:

   pip3 install -r requirements.txt

Usage

1. Download the latest dataset from: https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset -- I have a .csv already included, just in case.

2. Train the model:

   python train-heartdisease.py

3. Run the Flask application:

   python app-heart.py

4. Open a browser and go to http://127.0.0.1:5000/. Input the required health metrics and get a prediction on the likelihood of heart disease.

Contribute

1. Fork the repository.
2. Create a new branch.
3. Make your changes and commit them with a meaningful commit message.
4. Create a pull request.

Contributions are always welcome!

License

This project is licensed under the MIT License.

---

Made with ❤️ by Balaji Viswanathan.