Create a community that will help keep their surrounding free of trash.
What it does -
A picture is posted on the platform to request a clean-up. Volunteers gather for the cleaning event. Participants and the Informant receive points for their deed. As a result, the TACO database is in a constant flux of data, thus it improves in the process.
How we built it -
We used React-native with typescript to build the front-end of the application, and Node.js with typescript to build the backend. We choose MongoDB as our database, and mongoose to communicate with that database.
Challenges we ran into -
First time working in TensoFlow. Too many features for 24 hour project.
Accomplishments that we're proud of -
Functioning backend with persistent database. File upload feature. Google cloud (Google maps APIs). Cross-platform native mobile application with React-Native.
What we learned
Machine Learning, Tensor Flow, Segmentation, object calssification.
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