Hand Gesture Recognition with Audible Feedback for Deaf and Dumb Using ML
摘要
The paper aims to enhance the communication and language development for individuals with hearing and speech impairments. By using the computer vision and machine learning algorithms, our system focuses and tracks the moments of hand gestures. It converts hand gesture into text and audio, providing a natural communication channel. Potential advantages of this technology include encouraging inclusivity and supporting language learning. It is appositive step toward increasing inclusion and accessibility for those with speech and hearing impairments.