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Real-time Hand Gesture Recognition using TensorFlow & OpenCV

In this machine learning project on Hand Gesture Recognition, we are going to make a real-time Hand Gesture Recognizer using the MediaPipe framework and Tensorflow in OpenCV and Python.

  • MediaPipe is a customizable machine learning solutions framework developed by Google.

  • TensorFlow is an open-source library for machine learning and deep learning developed by the Google brains team.

  • Neural Networks are also known as artificial neural networks. It is a subset of machine learning and the heart of deep learning algorithms. The concept of Neural networks is inspired by the human brain.

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MediaPipe to recognize the hand and the hand key points. MediaPipe returns a total of 21 key points for each detected hand.

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Steps to solve the project:

  1. Import necessary packages.

  2. Initialize models.

  3. Read frames from a webcam.

  4. Detect hand keypoints.

  5. Recognize hand gestures.

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