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Designed and built a robotic hand with 16 degrees of freedom using 3d printer.
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Implemented the real-time control of the robotic hand to imitating gestures using Node.js with a Leap Motion
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Built a deep learning model with TensorFlow that can recognize the key points of hands from images taken by a regular camera within 25 milliseconds (improve from 110ms).