desktop · cv
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Diet tracker: photograph a meal, detect Korean dishes with YOLO, and log nutrients from a government food database.
YOLOPyQt5Flask
- How it works
- A PyQt5 desktop app uploads a meal photo to a Flask server running a YOLO model trained on Korean dishes. Nutrients come from the Ministry of Food and Drug Safety open API, GPT suggests the next meal, and logs live in MySQL with Excel export.
- My part
- Team lead (four people) for a software engineering course. I also taught the team a GitHub workflow.