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.

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