There is a lot of road damage in our area.
What it does
It utilizes an algorithm to sense bumps in the road using the phone's accelerometer and gyroscope. The manual reports also read picture metadata, which gets the exact location and date that the picture was taken, to ensure that the government can easily find the damage. There is also a machine learning implementation that detects if the image has potholes to minimize spam reports.
How we built it
We used android studio, google sheets api, and firebase.
Challenges we ran into
There was a lot of debugging with firebase and it was hard to make a good UI in Android Studio.
Accomplishments that we're proud of
Built a ticketing system, an algorithm, and a working machine learning model.
What we learned
How to make an android app and implement machine learning.
What's next for SafeRoads
Improve the ui and machine learning model.