Inspiration
I have been learning a lot about ML recently and wanted to try a real world scenario, also I noticed that Waze doesn't have the best traffic notifying system so I wanted to see if I could improve it.
What it does
Predicts Traffic based on incidences across a route.
How we built it
Using Python, JavaScript, and MapQuest Traffic API
Challenges we ran into
Forming data from API into a csv to be used by the algorithm
Accomplishments that we're proud of
first successful real scenario ML algorithm we made and learned to put data from API into a google sheet in one day
What we learned
How to better manage API's and how to build and refine a ML model
What's next for Traffic Predictor
Making the model better and getting access to better data would be ideal for next steps. Also being able to automate entire process.
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