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Stroke Probability Predictor with Streamlit

Overview

This Streamlit application utilizes a logistic regression model trained on a Kaggle dataset to predict stroke probability based on user input. Additionally, it provides valuable information and resources on strokes to raise awareness and educate users.

Features

  • Stroke Probability Prediction: Input your details to determine your likelihood of experiencing a stroke (high vs. low chance).
  • Educational Resources: Explore a dedicated page with information and resources related to strokes.
  • Personal Journey: Read about my grandpa's experience with a stroke, fostering empathy and understanding.

Python Libraries Used

  • Streamlit
  • Scikit-learn
  • Pandas

Link

To view the app, click here

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