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Explore SIGNWAVE - Wearable Glove for Sign Language Translation Using Machine Learning with 235 views, 16 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

This project introduces a wearable glove to address communication challenges for the deaf community by translating sign language into text. The glove, equipped with flex sensors and a gyroscope, ensures precise detection of sign language gestures. Through a concise data collection phase with participants performing ten gestures, a robust K-Nearest Neighbors (KNN) machine learning model was developed. The technology is deployed using the Django web framework, creating a user-friendly web system for real-time translation. The model demonstrates an impressive 92% accuracy, validated through extensive testing, highlighting its effectiveness in real-world scenarios. This achievement signifies significant progress towards enhancing inclusivity. Video by: Najla Bawazier

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