Realtime-Sign-Language-Detection-Using-LSTM-Model and Sign-Language-Recognition

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Stars: 78
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Language: Jupyter Notebook
License: MIT
Stars: 15
Forks: 7
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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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.

assistive-technology communication-accessibility sign-language-interpretation deaf-community-support real-time-translation

About Sign-Language-Recognition

CodingSamrat/Sign-Language-Recognition

A Machine Learning model that will be able to classify the various hand gestures used for finger spelling in sign language

This project helps bridge communication gaps by recognizing hand gestures in real-time, specifically finger spelling. You can input live video of hand signs, and the system outputs the corresponding text or speech. This tool is designed for anyone needing to interpret sign language or custom hand gestures.

sign-language-interpretation assistive-technology real-time-communication human-computer-interaction gesture-recognition

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