Inspiration
We were inspired by the COVID-19 pandemic and how differently industries bounced back. We wanted to make it easy to see recovery patterns across sectors.
What it does
The app shows industry resilience using interactive graphs, sliders, and filters. Users can compare recovery times and resilience scores in a clear dashboard.
How we built it
We used Python, Pandas, streamlit and various other libraries to process and visualize industry data. Docker was used for containerization to make the app easy to deploy.
Challenges we ran into
Getting Streamlit and Docker to work together smoothly. Designing a simple but nice user interface.
Accomplishments that we're proud of
Built a working app that visualizes resilience metrics interactively. Learned containerization and deployment under time pressure.
What we learned
Practical Docker and Streamlit experience. The importance of user friendly design in data apps.
What's next for Industry Resilience Explorer
In the future we will continue to compare our prediction model with real time results, using that to further fine-tune our results.
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