GRENZE International Journal of Engineering and Technology
Vol. 10
(2024), Issue 2
Instant Sign Language to Audio and Text Translation
Authors
Shubhangi Tirpude, Mohammad Saify Sheikh, Himanshu Shrigiriwar, Soham Bedi, Rugved Mhatre
Abstract
In a world where gestures speak volumes and silence carries meaning, we introduce a groundbreaking innovation: a blend of technology and compassion that translates sign language into written text, and then to audio in real-time. Welcome to a realm where hands shape words, and inclusivity finds its voice. This report sheds light on the journey of creating a transformative solution, set to bridge communication gaps and champion accessibility for everyone. Our system is skilled at recognizing 26 letters, operating instantly to capture and interpret hand gestures accurately. By using advanced machine learning and computer vision, it identifies characters and forms words on-the-spot, allowing for complete sentences to be constructed effortlessly. This report not only explains the technical details of our solution but also highlights its profound impact on society. By breaking communication barriers for those with hearing impairments, our system promotes inclusivity, ensures equal access to information, and empowers users to participate fully in various social and professional contexts. The development of this real-time sign to-text conversion system represents a significant step towards creating an inclusive digital space. Its smart design, smooth operation, and societal benefits make it a symbol of progress, ready to redefine communication norms and enhance accessibility for all.
Pages:
1117 - 1123