🎹 Virtual Hand-Controlled Keyboard (OpenCV + MediaPipe)

Type without touching your keyboard!
This project lets you control a virtual keyboard using your hands, powered by OpenCV and MediaPipe.
Simply hover your finger over the virtual keys displayed on the screen — when your finger "presses" a key (detected by depth and gesture logic), it registers as input!

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🚀 Features

• 🖐️ Hand Tracking: Real-time detection using MediaPipe’s hand landmarks.
• ⌨️ Virtual Keyboard Interface: Interactive on-screen keyboard made using OpenCV.
• 💡 Hover Typing: Press keys by moving and holding your index finger over them.
• 🧠 Smart Key Detection: Detects finger distance to simulate a “key press.”
• ⚡ Real-Time Performance: Smooth and responsive interface for real typing feel.
• 🔊 Optional Sound Feedback: (Add feature) to play key-click sound on press.

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🧠 Tech Stack

• Language: Python
• Libraries:
  • OpenCV – for computer vision & UI
  • MediaPipe – for hand landmark detection
  • NumPy – for image array manipulation
  • (Optional) pyautogui or keyboard – to simulate real key presses

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🖥️ How It Works

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1. The webcam captures your hand movements.
2. MediaPipe detects 21 hand landmarks, including fingertips and joints.
3. OpenCV displays a virtual keyboard layout on screen.
4. When your index finger hovers close enough to a key, the program interprets it as a key press.
5. The pressed key appears in the terminal or on a text box.

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🧩 Installation

1. Clone the repository

   git clone https://github.com/<your-username>/VirtualKeyboard.git
   cd VirtualKeyboard

2. Install dependencies

   pip install opencv-python mediapipe numpy pyautogui

3. Run the project

   python virtual_keyboard.py

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🧠 Demo Preview

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(Add a screenshot or a short GIF of the keyboard in action — showing typing in air.)

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🧑‍💻 Author

Ayush Pradhan
💼 Full Stack + AI Developer | Passionate about Human-Computer Interaction using AI & Vision
🔗 LinkedIn | GitHub

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⭐ Support

If this project amazed you, give it a ⭐ and share it!
Your support keeps innovation alive 💡

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🧩 Future Enhancements

• Add gesture-based Shift / Backspace / Space
• Add multilingual keyboard layouts
• Integrate AI auto-completion or speech feedback
• Use depth estimation for more accurate key pressing

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“Touchless technology isn’t the future — it’s already here.” ✨