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Hand Gesture Controlled Presentation

This project is aimed at creating a presentation control system using hand gestures. By detecting and recognizing specific hand gestures, users can navigate through slides in a presentation without the need for traditional input devices such as a keyboard or mouse.

Features

  • Gesture Recognition: The system utilizes computer vision techniques to recognize predefined hand gestures.
  • Slide Navigation: Users can control the forward and backward movement of slides using hand gestures.
  • User-Friendly Interface: The system is designed to be intuitive and easy to use for presenters.

Requirements

  • Python 3.x
  • OpenCV
  • TensorFlow (optional, depending on the chosen gesture recognition approach)
  • Presentation software compatible with external control (e.g., PowerPoint)

Installation

  1. Clone the repository to your local machine:
  2. Install the required dependencies using pip:

Usage

  1. Connect a camera to your computer.
  2. Run the main script:
  3. Follow the instructions to calibrate the system and start controlling the presentation with hand gestures.

Contributing

Contributions are welcome! If you have any ideas for improvements or new features, feel free to open an issue or submit a pull request.

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