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https://github.com/rhythmusbyte/sign-language-to-speech
Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text output. Built with accessibility in mind.
https://github.com/rhythmusbyte/sign-language-to-speech
asl assistive-technology cv2 hand-tracking handdetection image-classification image-processing keras machine-learning mediapipe numpy opencv python real-time-detection real-time-recognition sign-language tensorflow
Last synced: 3 days ago
JSON representation
Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text output. Built with accessibility in mind.
- Host: GitHub
- URL: https://github.com/rhythmusbyte/sign-language-to-speech
- Owner: RhythmusByte
- Created: 2025-02-06T04:32:57.000Z (6 days ago)
- Default Branch: main
- Last Pushed: 2025-02-09T04:31:52.000Z (3 days ago)
- Last Synced: 2025-02-09T05:24:15.943Z (3 days ago)
- Topics: asl, assistive-technology, cv2, hand-tracking, handdetection, image-classification, image-processing, keras, machine-learning, mediapipe, numpy, opencv, python, real-time-detection, real-time-recognition, sign-language, tensorflow
- Language: Python
- Homepage:
- Size: 120 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md