Inspiration
Electric vehicle charging has become more and more important and reliability is paramount to an expanding system of charging. We really resonated with the problem proposed by Data Pigeon.
What it does
Our web app allows for technicians and admins to access a page providing them with information about various chargers queried from the database. It clearly
How we built it
Trained an ai using public data and used a database of example live data from chargers to get the maintenance estimations. Connected the backend to the frontend to display probability failures and to dispatch technicians.
Challenges we ran into
Challenges we faced include managing merge conflicts and querying the backend to get the desired data to display on the frontend.
What we learned
We learned how to integrate the frontend and backend, as well as working effectively as a team under a strict time crunch.
Built With
- fastapi
- javascript
- numpy
- pandas
- postgresql
- python
- react
- render
- sklearn
- supabase
- typescript
- vercel

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