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Our project focuses on hand gesture recognition, leveraging deep learning techniques to interpret and respond to human gestures. Through robust algorithms and training, we aim to enable intuitive interactions with technology, offering enhanced accessibility and efficiency in various applications.

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PhilemonTJ/Hand-Gesture-Recognition-System

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Hand Gesture Recognition System

Authors:

  • Ashwin Suresh
  • Dhruv Minesh Patel
  • Philemon T Joseph

Project Overview

Our project utilizes Mediapipe and OpenCV to develop a robust hand gesture recognition system. Leveraging computer vision techniques, it detects and interprets hand gestures in real-time, enabling seamless interaction with devices and applications. With an intuitive user interface, our system offers a novel approach to human-computer interaction, promising enhanced accessibility and user experience.

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Our project focuses on hand gesture recognition, leveraging deep learning techniques to interpret and respond to human gestures. Through robust algorithms and training, we aim to enable intuitive interactions with technology, offering enhanced accessibility and efficiency in various applications.

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python opencv-python mediapipe human-gestures

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