Paper Contents
Abstract
Communication is key to human interaction, but for people with hearing or speech impairments, it can be challenging. Sign language helps, but many people dont understand it, leading to isolation. To solve this, we created the "Hand Sign Language Translation "a web app that uses a webcam, computer vision, and machine learning to detect hand signs and turn them into text. This makes communication easier, more inclusive, and accessible for everyone.
Copyright
Copyright © 2025 Saroj Nilesh Kumar Brijlal. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS50400098550
ISSN:
2321-9653
Publisher:
ijprems