Abstract
Abstract: Communication for the deaf and mute relies on intricate gestures and visual cues, presenting a challenge for accurate interpretation. This project employs advanced deep learning techniques, utilizing SVM and K-means Clustering algorithms for precise real-time recognition of these expressions from images. Our aim is to bridge the communication gap, empowering the hearing-impaired to engage meaningfully and be a vital part of human interaction. Through this innovative approach, we create an inclusive society where everyone can express themselves effectively, regardless of their hearing abilities.
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