The project involves building a heart disease prediction model using logistic regression. The model is then deployed using Flask, a lightweight web framework in Python. Postman is used to test the deployed model by sending a POST request with the required input parameters and receiving the predicted output as a response.
Files dataset.csv: This file contains the dataset used for the project. model.pkl: This file contains the trained machine learning model. main_project_notebook.ipynb: This Jupyter notebook contains the code for the main project. app.py: This Flask application file contains the code for the web application.