We were inspired by some of the topics given by sponsors, especially the idea of teaching young girls about finance. We believe that our daily choices impact not only our own financial well being, but also our health and the health of the environment.

Our game provides a fun, interactive story where the player makes daily decisions and can see how they impact their ecological footprint, material wealth, and personal health and happiness. In a second phase, it takes this information and runs it through a machine learning KNN algorithm to determine whether the player has made the right financial decisions to earn a loan.

We built it on Scratch, a drag-and-drop game making service, and used R to write the KNN algorithm.

Scratch is not a very collaborative platform and it was difficult to compile all of our members' work together. We also had not used it before and had to do research to figure out what platform would work best for us to make our game on. Additionally, it was difficult to store data from the game in a way that the KNN algorithm could access and process it. It was also difficult to share the KNN algorithm between members, as it was written on a private server.

We are proud that the game runs beginning to end, and that it is a visually appealing, fun experience for tweens. We incorporated our own visuals, which we created and uploaded to Scratch. We are also proud that we managed to make this product in one night on a platform that was new to all of us.

We learned how to use Scratch and how to make games. We also learned the benefits and downfalls of this platform, as well as a few others that we tried out while doing our research at the beginning of the hackathon. We also learned that it might have been better to focus more on the data aspect of the game instead of the functionality.

Next, we would like to incorporate a cloud storage where we can see how the decisions we make affect the outcome of our loan request in real time.

Built With

  • r
  • scratch
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