Arabic Sign Language Vision Translator
Developing a computer vision app to translate Arabic Sign Language into spoken/written language in real-time.
90% Filled
Cohort Details
Empowering Deaf & Hard-of-Hearing via Visual AI
This project builds a model to track hand gestures and facial expressions (using MediaPipe and Transformers/LSTM) to translate Arabic Sign Language into speech and text instantly, facilitating communication in schools and public service counters.
Developer Activities & Implementation Status
Video Dataset Capturing & Labeling
OngoingCapturing and annotating video clips of essential daily gestures, labeled by professional sign language trainers.
Labeled Video Clips9,000 / 10,000
Arab World / Remote9,000 developer
Cohort Gallery & Demo Documentation
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