HEART DISEASE USING FLASK

Heart disease is one of the leading causes of death globally. Early prediction and diagnosis can significantly improve patient outcomes. This project aims to provide a tool to predict the likelihood of heart disease based on patient data using machine learning.

Features:

• Easily input patient data through a user-friendly web interface.

• Provides predictions on whether heart disease is present or not based on the entered information.

• Displays the prediction results on the same page for immediate feedback.

Installation:

1. Clone the repository:

git clone https://github.com/Anupriya-g/HEART-DISEASE-USING-FLASK.git

cd HEART-DISEASE-USING-FLASK/deployment

2. Create and activate a virtual environment:

Ensure that you have installed the latest version of Python and added it to system's PATH. It can be verified using the following command:

python --version

python -m venv venv

source venv\Scripts\activate

3. Install the required packages:

pip install pandas

pip install scikit-learn

pip install Flask

4. Run the Flask app:

python app.py

The application will be accessible at http://127.0.0.1:8080.

The predicted result will be displayed as "Prediction: Heart Disease" or "Prediction: No Heart Disease".