Inspiration
Giving visibility to unexpectedly crowded travel routes
What it does
Provides a heatmap of Berlin for crowdedness of stations based on machine-learning predictions
How I built it
Basic random forest model. Using BVG data.
Challenges I ran into
Only portion of all trams provided data
Accomplishments that I'm proud of
Integrated the predictions on BVG data into a frontend
What I learned
Using Leaflet for visualization
What's next for Crystalball
Online improvement of machine-learning by adding new data
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