We developed the Wreckstimater to anyone determine how much their collision would cost.
What it does
The Wreckstimater determines what parts of a vehicle are damaged and estimates the cost of replacement.
How we built it
We used Amazon SageMaker to build a machine learning model to determine which parts of a vehicle are damaged. A Lambda function, connected to the API Gateway to build a REST endpoint. We used React to build a front-end to interface with the model.
Challenges we ran into
Gathering and sorting data is always a challenge, as the data needs to be manually tagged in order to be put into a model.
What we learned
This was our teams first experience with AWS, and it was a great learning experience.
What's next for Wreckstimator
Gathering more data in order to be able to determine different parts that might be wrong in a crash.