I build YOLOv8 detection & instance-segmentation prototypes that run in production — including on CPU/edge hardware (Raspberry Pi): object/defect detection, per-item scoring, optional privacy-blurring, and a Streamlit dashboard. You get a trained model, an inference pipeline and a working demo — not just a notebook.