Finger Gesture-Based Drawing App 🎨🖐️

Welcome to the Finger Gesture-Based Drawing App! This interactive application allows you to draw on the screen using hand gestures, change colors by raising fingers, and clear the canvas with a simple palm gesture. It’s a fun and creative way to explore the power of computer vision and gesture recognition.

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Features ✨

• Draw Circles: Show your thumb to draw circles on the screen.
• Change Colors: Raise fingers to change colors:
  • 1 finger = Red
  • 2 fingers = Green
  • 3 fingers = Blue
  • 4 fingers = Yellow
• Clear Canvas: Show your open palm to erase everything.
• Manual Color Selection: Use the on-screen toolbar to pick colors manually.

Tech Stack 🛠️

• Python: Backend logic.
• Mediapipe: Hand tracking and gesture recognition.
• OpenCV: Real-time video processing.
• Tkinter: GUI and canvas.
• NumPy: Handling image data.
• Pillow: Converting OpenCV images to Tkinter-compatible format.

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Installation 🚀

Prerequisites

• Python 3.7 or higher.
• A webcam.

Steps to Run the Project

1. Clone the Repository:

   https://github.com/Quratulain-bilal/finger-gesture-drawing-app.git
   

Set Up a Virtual Environment (Optional but Recommended):

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate Install Dependencies:

bash Copy pip install -r requirements.txt Run the Project:

bash Copy python main.py How to Use 🖌️ Draw Circles:

Show your thumb to the camera to draw circles.

Change Colors:

Raise 1 finger for Red, 2 fingers for Green, etc.

Clear Canvas:

Show your open palm to clear the canvas.

Manual Color Selection:

Use the toolbar on the screen to select colors manually.

Project Structure 📂 Copy finger-gesture-drawing-app/ ├── main.py # Main application script ├── requirements.txt # List of dependencies ├── README.md # Project documentation └── .gitignore # Files to ignore in Git Dependencies 📦 All dependencies are listed in the requirements.txt file. You can install them using:

bash Copy pip install -r requirements.txt Contributing 🤝 Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.

License 📜 This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments 🙏 Mediapipe: For providing an excellent hand tracking solution.

OpenCV: For making computer vision accessible.

Tkinter: For simplifying GUI development in Python.

Key Features of This README.md:

1. Clear and Concise:

   • Easy to read and understand.
   • Highlights the key features and functionalities.

2. Demo Section:

   • Add a GIF or screenshot to showcase the app in action.

3. Step-by-Step Installation:

   • Provides clear instructions to set up and run the project.

4. Project Structure:

   • Explains the files and folders in the project.

5. Contributing and License:

   • Encourages collaboration and specifies the license.

6. Connect with Me:

   • Adds a personal touch and invites others to connect.

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