Paper Key : IRJ************223
Author: Harsh Megharaj Huke,Himani Hatwar,Digeshwar Parshuramkar,Gaurav Shrinath,Yash Wasalwar,Divya Motghare
Date Published: 11 Nov 2024
Abstract
The Sign Speak project aims to bridge the communication gap between individuals who use sign language and those who do not understand it by translating real-time sign language into speech. Utilizing the YOLO algorithm, the system detects and recognizes hand gestures corresponding to the alphabets A to Z and predefined phrases such as "Hi," "Hello," "Okay," "I love you," and "Bye.", etc. Once detected, the gestures are converted into text and then into coherent sentences. The system encompasses three modules for different input sources: images, videos, and live camera feeds. Python libraries are used to facilitate the automated generation of sentences from detected signs. This project offers an inclusive and accessible solution, enabling individuals who are unable to speak to communicate their thoughts effectively to a wider audience.
DOI Requested