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A professional real-time Computer Vision suite implementing high-precision Face Mesh, Hand Tracking, and Pose Estimation using MediaPipe & OpenCV. Features an interactive gesture-driven AirDraw canvas and automated environment setup.
Analysis the use of Vision Transformer (ViT) for real-time hand gesture recognition using a webcam. The model is trained to recognize hand gestures representing digits (1-10) from the Chinese Hand Gesture Number Recognition Dataset and ASL Dataset.
A real-time dual-hand AR magic system built with Python, OpenCV, and MediaPipe featuring gesture recognition, dynamic spell effects, particle systems, and futuristic HUD rendering.