SignaSpectrum: AI-Driven Dynamic Sign Language Detection and Interpretation
Taksheel Saini, Nandini Kumari · 2024
Sign Language, the vibrant language of silent grace woven by the deaf and hard-of-hearing community, can sometimes find its flow tangled in the everyday threads of communication. Signaspectrum, a groundbreaking AI-powered system, aims to unravel these knots and build a seamless bridge through real-time, dynamic sign language detection and interpretation. Fueled by the fire of deep learning in the fields of artificial intelligence, it navigates the flowing river of gestures like thank you, goodbye, I love you. These seemingly common sign language gestures may be very common language for the people that are able to speak and hear but when it comes to those who are not able to hear and speak, they use these gestures to express their daily life common greetings. A powerful deep neural network then deciphers these treasures, translating them into spoken language or text in real-time, allowing sign language to flow freely from hands to eyes. Unlike a static dictionary, this dynamic system has not only one but six different gestures or human greetings which helps you to expand your knowledge and get a grip on the sing language detection using Deep Learning.