Sign-Language-Interpreter-using-Deep-Learning and Realtime-Sign-Language-Detection-Using-LSTM-Model
About Sign-Language-Interpreter-using-Deep-Learning
harshbg/Sign-Language-Interpreter-using-Deep-Learning
A sign language interpreter using live video feed from the camera.
This project helps deaf individuals communicate more easily by translating American Sign Language (ASL) gestures into text in real-time. It takes a live video feed from a camera, identifies the hand signs, and outputs the corresponding letters or words. This tool is designed for deaf people who want a personal, always-available translator for daily communication without needing a human interpreter.
About Realtime-Sign-Language-Detection-Using-LSTM-Model
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.
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