Authors : Manjuvani Shivaling Gouda; Dr. BhagyaJyothi K. L.; Naseema C. A.; Thajunnisa N. M.

Volume/Issue : Volume 11 - 2026, Issue 6 - June

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Google Scholar : https://tinyurl.com/4vzx58ay

Scribd : https://tinyurl.com/4jmju896

DOI : https://doi.org/10.38124/ijisrt/26jun1218

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Communication issues form a serious challenge for deaf and mute individuals. In this context, this study recommends a Real Time Sign Language Translator, which uses the principles of Computer Vision and Deep Learning to translate gestures to text and voice in real time through webcam input.

Keywords : Sign Language Recognition, Sign Language Trans-Lation, Deep Learning, CNN, LSTM, Transformer Model, Vision Transformer, MediaPipe, Hand Gesture Recognition, Computer Vision, Natural Language processing, ASL, ISL, MobileNetV2, TensorFlow Lite, Speech Synthesis.

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