Sign Language Prediction Using Machine Learning Algorithm
Speech Impaired; Hearing Impaired; Sign Language Prediction; Machine Learning; Artificial Intelligence
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", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.62 - 71, October-2023, Available :https://ijsdr.org/papers/IJSDR2310013.pdf
Volume 8
Issue 10,
October-2023
Pages : 62 - 71
Paper Reg. ID: IJSDR_208783
Published Paper Id: IJSDR2310013
Downloads: 000347264
Research Area: Computer Science & Technology
Country: New Delhi, Delhi, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
