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Welcome to the Face Detection App Repository! πŸ‘‹

About the Project

  • This repository is dedicated to my journey of building a Face Detection App using machine learning.
  • I'm excited to share my progress and discoveries as I explore the fascinating world of computer vision.

Project Goals

  • Pushing Boundaries: It's not just about recognizing faces; it's about pushing the boundaries of what's possible with ML.
  • Innovative Features: Incorporating innovative features like adding emojis and integrating trending tags to create engaging user experiences.

What to Expect

  • Deep Dive into ML: Delving into the complexities of face detection and computer vision with each commit.
  • Hands-on Learning: Honing skills, uncovering insights, and experimenting with novel techniques.

Join Me on the Journey

  • Collaboration: I invite you to collaborate, share insights, and contribute to this exciting project.
  • Community Engagement: Let's engage with the community, exchange ideas, and inspire each other in the realm of machine learning.

Let's Get Started! πŸ’»πŸš€

  • Dive into the code, explore the possibilities, and embark on this exhilarating journey together!!

Demo

Face-Detection.webm

Setup

Follow these steps to set up the project locally:

1. Clone the Repository

https://github.com/Vaibhav-kesarwani/Face-detection

2. Navigate to the Project Directory

cd Face-detection

3. Install Dependencies

pip install -r

4. Run the App

python FaceDetection.py

Usage

Once the app is running, you can interact with it to detect faces in images or videos. Explore the various features and functionalities to experience the full potential of the Face Detection App!

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

  • Fork the repository
  • Create a new branch (git checkout -b feature)
  • Make your changes
  • Commit your changes (git commit -am 'Add new feature')
  • Push to the branch (git push origin feature)
  • Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

  • Mediapipe - for providing the face detection functionality
  • OpenCV - for image and video processing

Contact

If you have any questions or suggestions, feel free to reach out to me at PORTFOLIO.

Happy Coding! πŸ˜ŠπŸ‘€