Project URO | Devpost

Output of a Unit Test. Red X's indicate most reliable users. Green X's indicate the most unreliable users.
An example of clustering on a synthetic dataset. The different colored curves are different clusters.

Inspiration

Getting everyone to help non-profits help the community. Time for the community to give back to itself.

What it does

Applies a knowledge representation approach to deliver enthusiastic volunteers to nonprofit organizations

How we built it

We separated into groups and approached backend and frontend separately. We used Firebase to create a front-end where users can sign up for opportunities presented by organizations. In the backend, we apply a knowledge representation approach to deliver reliable volunteers to an organization's event in the scenario of a possible no-show.

Challenges we ran into

Implementing a web application without a server. Working with Firebase wasn't exactly fun. Implementing machine learning without real-world data.

Accomplishments that we're proud of

Learning and implementing new technologies, and applying them for a good cause.

What we learned

We need a lot more help and less experimentation! The backend finished well before the frontend, but by that time, the backend had no idea what is happening