Overview

Hand landmarks drive gameplay timing and scoring; a small custom model classifies poses for low-latency interaction in the browser or local demo.

Technical notes

• MediaPipe hand tracking with stable landmark streams for gesture input.
• PyTorch model training and inference integrated with a lightweight Flask backend.
• OpenCV capture and preprocessing for robust frames under varied lighting.