🖐️ Hand Landmark Detection GUI with Webcam

This Python project creates a GUI application that detects and displays hand landmarks in real-time using your webcam. It uses OpenCV for video capture, Tkinter for the interface, and cvzone (built on top of MediaPipe) for detecting hand landmarks.

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📌 Features

• ✅ Real-time hand detection using your webcam
• ✅ Displays hand landmarks (21 keypoints) with green circles
• ✅ Simple GUI using Tkinter
• ✅ Exit button to safely close the app
• ✅ Smooth video frame updates inside the GUI

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🛠️ Tech Stack

• Python 3.7+
• OpenCV – for webcam and image processing
• Tkinter – GUI framework
• Pillow (PIL) – image handling for Tkinter
• cvzone – simplified computer vision (uses MediaPipe under the hood)

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🚀 How to Run This Project

Follow these steps to set it up and run on your computer:

1️⃣ Clone the Repository

git clone https://github.com/ThePrince047/Hand_Landmark_Detection_Using_Python.git
cd Hand_Landmark_Detection_Using_Python

Install Required Packages

Make sure Python is installed (Python 3.7 or higher), then run:

pip install opencv-python pillow cvzone