{"id":28249672,"url":"https://github.com/2100031988/hand_gesture_using_deeplearning","last_synced_at":"2025-06-13T21:30:35.842Z","repository":{"id":221136229,"uuid":"753544986","full_name":"2100031988/hand_gesture_using_deeplearning","owner":"2100031988","description":"This project focuses on Hand Gesture Identification using AI and machine learning to recognize various hand gestures in real-time. 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It can detect hand gestures in a live video stream from a webcam and count the number of fingers extended in each detected hand.\n\n## Introduction\n\nHand gesture identification has various applications, including sign language recognition, gesture-based control systems, and virtual reality interactions. This project provides a simple yet effective solution for real-time hand gesture identification using computer vision techniques.\n\n## Features\n\n- Detects hand landmarks using MediaPipe Hands library\n- Counts the number of fingers extended in each hand gesture\n- Displays the finger count on the video feed in real-time\n- Supports various hand gestures, including open hand, fist, and different finger configurations\n\n## Installation\n\nTo run the project locally, follow these steps:\n\n1. Clone the repository to your local machine:\n\n   ```bash\n   git clone https://github.com/2100031988/hand_gesture_identification.git\n2. download the needed files\n\n   pip install -r requirements.txt\n\n3. run the final code\n   \n   python main.py\n\n## Output\n\n\u003cimg width=\"1440\" alt=\"Screenshot 2024-02-11 at 7 37 56 PM\" src=\"https://github.com/2100031988/hand_gesture_using_deeplearning/assets/110450040/12f82d3e-879b-49d3-a6f9-37b80d797be0\"\u003e\n\u003cimg width=\"1440\" alt=\"Screenshot 2024-02-11 at 7 38 04 PM\" src=\"https://github.com/2100031988/hand_gesture_using_deeplearning/assets/110450040/deabde16-d360-4122-83a4-f0ae08354713\"\u003e\n\n\n\n\n## Usage\n\nOnce the script is running, it will open a window displaying the live video feed from your webcam. It will detect hand gestures and count the number of fingers extended in each hand.\n\n- Extend your hand in front of the camera to see the detected hand landmarks and finger count.\n- Try different hand gestures, such as open hand, fist, and various finger configurations, to observe the detection accuracy.\n\n## About the Author\nThis project is developed by Sabyasachi Kumar. You can contact me at sabyasachikumar2@gmail.com.\n\n## License\nThis project is licensed under the MIT License.\n\n## Copyright\n© 2024 Sabyasachi Kumar. All rights reserved.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2100031988%2Fhand_gesture_using_deeplearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F2100031988%2Fhand_gesture_using_deeplearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2100031988%2Fhand_gesture_using_deeplearning/lists"}