Inspiration

Google's cloud vision API and PDI's challenge

What it does

It receives picture/snapshots of gas station price tag taken by user and outputs gas prices

How we built it

Using gcloud and firebase API

Challenges we ran into

API integration (google's cloud vision API), as well as how to bridge the backend files which are written in python and the frontend html/javascript

Accomplishments that we're proud of

We are able to get a decent result by using google's vision API, despite the fact that it often makes spurious detection; we are able to use regular expression to significantly improve its performance.

What we learned

We should avoid using multiple languages while doing projects!

What's next for GasVisi0n

We are going to improve the backend algorithm and add an AR(augmented reality) features to the user interface.

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