Winners are announced.
These are just a few ideas, if you have your own idea for a machine learning project using publicly available data that is focused on climate and sustainability issues, then we would love for you to submit your own idea!
Phase 1-Criteria |
Points |
Description |
Uniqueness and innovation | 4 | Judges will assess Uniqueness and innovation of the idea and the problem it solves |
Approach | 2 | Approach to how your project will employ ML methods to solve this problem (You should either be applying a novel ML technique or applying a more standard ML technique in a novel way). |
Advantage and benefits | 2 | Articulated benefits to the environment |
Differentiation | 2 | How your project will be differentiated from the competition |
Phase 2 -Criteria | Points | Description |
Uniqueness | 4 | Overall uniqueness of the solution |
Code quality | 2 | Code quality (we won't go as far as demanding PEP 8 compliance, but we wouldn't be upset if it was) |
Web Application quality | 2 | Quality of the web application (a single bar chart isn't going to cut it, strive to wow and explain at the same time). |
Impact | 2 | Impact on the environment and our understanding of it. |