This week, I worked on the final presentation as well as making final adjustments for the final demo. We are on schedule and next week is the final demo.
Some new tools that I continued to work with were the Raspberry Pi and the YOLO computer vision framework. Some new knowledge that I gained this week was learning how to fine-tune model performance based on test results and understanding how different environmental conditions like lighting and texture affect detection accuracy. My learning strategies included analyzing test outputs, reviewing documentation on model tuning, and hands-on iteration with the system to improve reliability before the final demo.