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🧠 Computer Vision Projects – Jayesh Sutar

A collection of Python projects built using OpenCV and hand gesture recognition, focused on experimenting with computer vision in real-world interactions.

Originally built to experiment with game control using hand tracking. These scripts showcase different gesture-based tools and systems.

🚀 Projects Included

  • gesture.py – Real-time hand gesture recognition
  • gesture_draw.py – Virtual paint application using finger tracking
  • gesture_keyboard.py – Control keyboard inputs using hand gestures
  • games.py / games2.py – Hand gesture integration with classic browser games
  • both.py – Combined setup for game control and drawing with gestures

🛠 Tech Used (Use this as MediaPipe works on following Python version only!!)

  • Python 3.10+
  • OpenCV
  • Mediapipe
  • PyAutoGUI (for simulating inputs)
  • NumPy

💡 How to Run

pip install -r requirements.txt
python gesture.py
TIP - use :-

python gesture_keyboard.py 

This is optimized and other files are just a check.

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A hand tracking script uses palm to act as a Navigation Keys

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