At Geese Super Health Expert Expunging Tech, we feel the strong need to address the rampant amount of geese droppings or presents that have been left on campus.
To avoid the unfortunate accident of
we set out to build something that could prevent all tragic events like this one.
Introducing the top of the line Geese Super Health Expert Expunging Tech, or to put it simple: Geese S.H.E.E.T.. To use, simply attach the camera to your shirt and leave the remaining components in your pocket.
Geese S.H.E.E.T. is essentially an IP camera that’s been repurposed for this important cause, found in the random basement of one of the team members. The pin was taken directly from one of the sponsor tables, hardware was borrowed from the front table, and 3D printing was done by Arnnav’s custom 3D printer (which can play megalovania btw)
The software used to develop Geese S.H.E.E.T. was Fusion, Roboflow, and VSCode, and coding was mostly done in Python. We also used tools like ChatGPT and Copilot in the situation we could not figure out any errors.
Roboflow was used to train a model to detect goose droppings, and Fusion was used to develop our model’s frames.