Stroke Predictor and Switch KPI Dashboard with Streamlit

:wave: Hello everyone!

I started using Streamlit in August of 2023 and I have created a handful of apps since then. Most are work-related so I can’t show them here, but I can share two other apps I worked on for fun.

Stroke Probability Predictor

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

Nintendo Switch KPI Dashboard

This Streamlit app utilizes a Kaggle dataset about Nintendo Switch games to create an interactive dashboard. It showcases key performance indicators (KPIs), a graph, and tables, providing insights into the world of Nintendo Switch gaming.

Features

  • KPI Cards: Four key performance indicators provide at-a-glance metrics.
  • Graph: A visual representation of data trends.
  • Tables: Two tables offering detailed information.
  • Filters: Use filters to customize your view based on specific criteria.

Python Libraries Used

  • Streamlit
  • Pandas

Link

To view the app, click here

Additional

If you have any questions about either of these apps, please feel free to ask. I can’t wait to see what’s in store for Streamlit in 2024! Happy New Year everyone!

2 Likes

Happy New Year, thanks for sharing your apps!
Will have to check out some of those Nintendo Switch games. :blush:

1 Like

Happy New Year to you, too! Thanks for taking the time to check out my apps :slight_smile: