Signlanguage Transcript v 1.0

The Sign Language Transcription system utilizes an effective model that converts sign language gestures into text. This system employs computer vision and machine learning algorithms to identify hand movements and gestures, thereby facilitating communication between differently abled individuals and those who are unfamiliar with sign language.

This project introduces a state-of-the-art sign language transcription system capable of translating static and dynamic gestures into text in real-time, achieving an accuracy rate of up to 99.2% by utilizing Random Forests and deep learning technologies.