Inspiration
In the wake of a recent incident, one of our teammates was involved in an unfortunate accident. He went to a car shop and he charged him a hefty amount which he could have saved if he discussed it with some experienced person. This experience sparked an idea: What if we could harness the power of AI to create an app? An app that, with a simple snapshot of your car's damage, could instantly provide an estimated repair cost. Not only would this offer clarity in such confusing situations, but it could also revolutionize the way we approach vehicle repairs.
What it does
This web app takes your damaged car photos from all sides and then analyzes the images for damages and calculates a rough estimate of what it would cost to fix it saving users a lot of time and if connected with an insurance company, this could reduce the hassle of sharing the images, explaining, etc..
How we built it
We used Flask backend and MongoDB Atlas for the database, React for frontend, Material UI, OpenAI, Heroku, Netlify
Challenges we ran into
Cross-origin policy, unable to connect proxy between frontend and backend, flask blueprint module
Accomplishments that we're proud of
6 Celcius, 4 Coffees, 24 Nonstop awake, More than 1500 lines of code, intense coding
What we learned
We learned how to do Cross origin policy implementation, flask routes and maintaining them
What's next for CarScar
AI generated detailed report for the user on his damaged car.
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