🧑‍💻 Meshify

Meshify is a Python based real time face mesh detection application. It leverages OpenCV, Mediapipe, and CVZone to provide efficient and accurate facial landmark mapping through your camera. 📸

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🚀 Features

Feature	Description
🧠 Real Time Face Mesh Overlay	Detects and overlays a 3D face mesh in real time.
🎯 Precise Landmark Mapping	Maps 468 facial landmarks with high accuracy.
⚡ Lightweight and Fast	Optimized for performance with minimal latency.
⚙️ Customizable	Easily tweak settings for face mesh detection.
🔗 Easy Integration	Integrates smoothly with OpenCV and Mediapipe.

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💻 Tech Stack

Technology	Description
🖥️ OpenCV	Open source library for computer vision tasks like video capture and processing.
🤖 Mediapipe	Framework by Google for building multimodal pipelines.
🧰 CVZone	High level library built on top of OpenCV to simplify common computer vision tasks.
🐍 Python	The programming language used for developing the application.

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⚙️ Installation

Clone the Repository

git clone https://github.com/KrishBharadwaj5678/Meshify.git
cd Meshify

Install Dependencies

pip install -r requirements.txt

Run the Application

python app.py

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🛠️ Contributing

We welcome contributions to Meshify!

1. Fork the Repository 🍴

2. Clone Your Fork 📥

git clone  https://github.com/KrishBharadwaj5678/Meshify.git
cd Meshify

3. Create a New Branch 🌱

git checkout -b feature-branch

4. Make Your Changes 📝

5. Commit Your Changes 💾

git add .
git commit -m "Description of your changes"

6. Push to Your Fork ⬆️

git push origin feature-branch

7. Open a Pull Request 🔄

• Go to the original Meshify repository and click Compare & Pull Request.
• Provide a detailed description of your changes in the pull request and why they are being made.