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Brain Stroke Prediction PWA

Welcome to the Brain Stroke Prediction Progressive Web Application (PWA) repository! This project aims to provide a user-friendly and efficient solution for predicting the likelihood of a brain stroke occurrence. By leveraging machine learning algorithms and a comprehensive dataset, our PWA analyzes key risk factors such as age, blood pressure, cholesterol levels, smoking habits, and medical history to generate accurate predictions. With an intuitive interface and real-time results, users can proactively assess their stroke risk and take appropriate preventive measures. Join us in this important endeavor to promote early detection and raise awareness about stroke prevention.

Technologies Used

  • ReactJS
  • ExpressJS
  • NodeJS
  • MongoDB
  • Python

Installation Instructions for Linux

git clone https://github.com/sukhmeetbawa/Brain-Stroke-Prediction.git
cd Brain-Stroke-Prediction/
python -m venv env
source env/bin/activate
pip install -r ./requirements.txt
cd ./backend
npm install -f
cd ../frontend
npm install -f

Usage Instructions

source env/bin/activate
cd ./backend
npm start & disown
cd ../frontend
npm start & disown

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PWA for Stroke Prediction made as a group project.

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