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hand-gesture-recognition

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🖐 An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.

  • Updated Oct 5, 2023
  • Python

Showcasing a state-of-the-art hand gesture recognition system based on Convolutional Neural Networks (CNNs), this repository features a fluid interface for human-computer interaction. It excels in classifying a wide array of gestures, catering to applications in virtual reality, gaming, assistive technology, and beyond.

  • Updated Oct 19, 2023
  • Jupyter Notebook

This is my Final Year Project for my bachelor degree in Computer Science. I created a Hand Gesture Model (HGR) to detect the hand gesture and match it with the sign language number. The algorithm I used is CNN and was saved in a Keras model. In this project I used OpenCV-Python, NumPy, Keras, and Python.

  • Updated Sep 18, 2021
  • Python

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