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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 |
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| Paper Title: | 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. |
| Keywords: | Speech Impaired; Hearing Impaired; Sign Language Prediction; Machine Learning; Artificial Intelligence |
| Cite Article: | "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: | 000338720 |
| 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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