AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
This project helps bridge communication gaps by instantly interpreting sign language gestures. You perform gestures in front of a camera, and the system translates them in real-time. It's designed for individuals with hearing impairments and those who communicate with them, such as educators or support staff, to facilitate more natural interaction.
Use this if you need a real-time system to detect and interpret sign language gestures from a live video feed, especially for assistive communication.
Not ideal if you need to translate complex spoken language into sign language, as this focuses on interpreting gestures from the user.
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Nov 18, 2025
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