Stack: Python, TensorFlow
Highlights
- Developed a lightweight Vision Pro simulator with real-time hand gesture and motion recognition achieving >90% accuracy using custom MLP and LSTM neural networks, trained in under 90 seconds on CPU
- Implemented interactive photo manipulation features including drag-and-drop, scaling, rotation, and drawing tools using computer vision techniques and bilinear interpolation
- Devised a robust hand tracking system maintaining accuracy across varied lighting conditions and multi-user scenarios, with a modular pipeline for detection, tracking, and gesture recognition