We determined our object-detection project based on our own interests and ideas.
We downloaded thousands of pictures from Google and sorted through them to have enough data to train our model. We labeled our pictures to determine which parts of the rooms were tidy or messy.
We use an AI detection software using Python algorithms that scans a room using You Only Look Once (YOLO) software. With YOLO, we can come up with a fast and accurate response to how the room is laid out and through that we are able to detect objects that are out of place.
We each had our own roles in building the model. Each student was given a role to design the website, code the front-end, the back-end, and the confusion matrix.