๐๏ธ ASL Detection System
Real-time American Sign Language recognition for 29 classes (A-Z + SPACE, DEL, NOTHING)
Deep Learning ยท Computer Vision ยท Accessible AI
Deep Learning ยท Computer Vision ยท Accessible AI
- ๐ค 29-class ASL recognition: Detects all alphabets (A-Z), plus SPACE, DEL, and NOTHING.
- ๐ฅ Real-time webcam & image input: Use your webcam or upload images for instant results.
- ๐ฏ High accuracy: Deep learning model trained on robust ASL datasets.
- ๐ผ๏ธ Visualization: Confusion matrix and sample predictions included.
- ๐ ๏ธ Open source & easy setup: Simple installation and usage instructions.
Demo Video
Real-time ASL detection | Prabal Jay
Sample Results
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git clone https://github.com/PrabalJay/asl-detection-29-classes.gitasl-detection-29-classespip install -r requirements.txtpython detect.pyAbout the Project
ASL Detection System is an open-source deep learning project to recognize American Sign Language gestures from images and live webcam. Built with TensorFlow and OpenCV, the model supports 29 classes and is trained on the ASL Alphabet Dataset.
- ๐ 100% test accuracy on the included dataset
- ๐ Well-structured, readable codebase
- ๐ค Contributions and feedback welcome!