{"id":23397523,"url":"https://github.com/rishraks/handsign-ai","last_synced_at":"2026-04-16T10:02:09.820Z","repository":{"id":267010931,"uuid":"900019111","full_name":"rishraks/HandSign-AI","owner":"rishraks","description":"HandSign AI is a gesture recognition project using Mediapipe to detect custom hand signs like fist, palm, and V-sign. 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It identifies gestures like a fist, palm, and V-sign to automate actions such as starting/stopping video recording and capturing screenshots.\n\n## Features  \n- Detects **fist**, **palm**, and **V-sign** gestures.  \n- Automates:  \n  - **Start Recording** with a V-sign after 3 seconds.  \n  - **Stop Recording** with a palm gesture.  \n  - **Capture Screenshot** with a fist after 3 seconds.  \n- Hands-free interaction for improved accessibility.  \n\n## Installation  \n\n1. Clone the repository:  \n   ```bash  \n   git clone https://github.com/rishraks/HandSign-AI.git\n   cd HandSignAI \n   ```\n2. Install dependencies:\n    ```bash\n    pip install opencv-python mediapipe numpy  \n    ```\n3. Run the project:\n    ```bash\n    python main.py  \n    ```\n\n## Usage\n1. Ensure your webcam is connected.\n2. Show the following gestures:\n- V-sign: Start recording after a 3-second countdown.\n- Palm: Stop recording.\n- Fist: Capture a screenshot after a 3-second countdown.\n3. Press 'q' to quit the application.\n\n## Dependencies\n- Python 3.x\n- OpenCV\n- Mediapipe\n- NumPy\n\n## Future Enhancement\n- Train custom hand gestures using machine learning models.\n- Add gesture-based system control (e.g., volume, brightness adjustment).\n- Integrate audio feedback for gesture detection.\n\n\n## Licence\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishraks%2Fhandsign-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frishraks%2Fhandsign-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frishraks%2Fhandsign-ai/lists"}