Abstract: This People usually communicate with words, either by speaking or writing. But for deaf individuals, sign language becomes their main way of sharing information. Without someone to interpret, they face challenges in connecting with others. Sign language uses visual patterns to convey meaning, and it's not only essential for the deaf but also helpful for those with Autism Spectrum Disorder (ASD).However, there's a gap in communication between deaf individuals and the rest of society because many people don't understand sign language. To address this issue, a solution is proposed – a system that uses a camera to capture hand gestures. This system, powered by a neural network, interprets these gestures and turns them into spoken words. It's like teaching technology to understand and speak the language of sign.Sign language is crucial for those who have difficulty hearing or speaking, but it's often challenging for others to interpret. This proposed system aims to eliminate the need for an interpreter by using advanced technology. The process involves capturing hand gestures, enhancing accuracy through image processing techniques, and finally, converting the signs into spoken words using a speech synthesizer. In simpler terms, it's like creating a smart system that helps bridge the communication gap between deaf individuals and the rest of the world.
Keywords: Sign, Text, Voice, Video
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DOI:
10.17148/IJARCCE.2024.13578
