INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Sign Language Prediction Using Machine Learning Algorithm
Authors Name:
Ayaan Jamal
Unique Id:
IJSDR2310013
Published In:
Volume 8 Issue 10, October-2023
Abstract:
As a child, I was always told that God has made all of us equal. However, my growing years opened my eyes to a not-so-equal world - with so many disadvantaged people in the world. One such category is persons with hearing and speech impairment. These individuals face barriers in their ability to communicate among themselves and with the rest of society. They learn to use sign language to be able to communicate. However, it is a harsh reality that most of us either do not feel the need or lack motivation to learn these languages. There is a need to improve the condition of these less privileged people to better integrate within the society. Through this project, I aim to build a novel algorithm(model) for sign language prediction using Convolutional Neural Network (Machine Learning). I used a dataset of images containing sign languages with more than 27455 images for training and 7172 for testing. We achieved an accuracy of 100% on the test set with this model. This will help better understand and establish communication with the speech and hearing impaired by understanding the meanings of various patterns of sign language. It will create an enabling framework to understand each other in a better way. This will lead to a brighter and more equal world.
"Sign Language Prediction Using Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.62 - 71, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310013.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2310013
Registration ID:208783
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 62 - 71
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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