Develop a hand gesture recognition model that can accurately identify and classify different hand gestures from image or video data, enabling intuitive human-computer interaction and gesture-based control systems Features Transfer Learning: Uses a pretrained ResNet18 from ImageNet.
Strong Data Augmentation: Improves generalization.
Custom Classification Head: Trained for your specific gesture classes.
Streamlit UI: Upload an image and get top predictions instantly.
Runs on GPU/CPU: Uses CUDA if available