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EDA, visualizations and model training were done over the Heart Disease Dataset. Web app was made using HTML, CSS and Flask, which allows user to enter their medical info and check the risk of heart disease. A KNN model was deployed into the web-app using Python's Pickle module to make the risk prediction based on medical into entered by user.

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RishujeetRai/HeartDiseasePredictionWebApp

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About Project

  • Exploratory data analysis and visualizations were conducted over the Heart Disease Dataset and various machine learning models were trained over the same.
  • Additionally, a KNN model was deployed into a web app made using HTML, CSS and Flask, which allows users to check the risk of heart disease based on their medical info.
  • Python's Pickle module was used to deploy the KNN model into the web-app.

For Web-App

Open terminal in the "Model Deployment into Web App" folder and following commands

To install required modules

pip install -r requirements.txt 

To run the app

python app.py

About

EDA, visualizations and model training were done over the Heart Disease Dataset. Web app was made using HTML, CSS and Flask, which allows user to enter their medical info and check the risk of heart disease. A KNN model was deployed into the web-app using Python's Pickle module to make the risk prediction based on medical into entered by user.

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