According to the World Health Organization cardiovascular disease is the world's leading cause of death. More specifically, strokes are the 2nd leading cause of death globally. We wanted to create a project that helps tackle this issue. As a result, we created a web-app that uses Machine Learning to lower the risk of getting a stroke.
Full Devpost submission can be found at: Devpost
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HTML, CSS and JS - Used to design the front end of the website.
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Machine Learning - For the stroke prediction, we trained our very own machine learning model using stroke data on Kaggle. We then used a Jupyter Notebook and the Scikit Learn library to create the machine learning model. If interested, view the model training process here.
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SQL - To store user data we created a SQL database which allows us to access user data from any file in a organized manner
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Flask - To integrate the machine learning model and the databases onto the website so it can interact with the Front End of the website, we used Flask.
- First download the repository
- Now, run
main.py - Go to: http://127.0.0.1:5000/
- You should now be able to see the home page of the website