Face Recognition Attendance System

Project Overview

This project is a facial recognition-based attendance system, integrating real-time detection with a web interface for easy monitoring and management of employee attendance.

Features

• Real-time facial recognition for attendance tracking.
• Web interface for interaction and attendance visualization.
• Firebase integration for data management and storage.
• Encoding and image processing for enhanced recognition accuracy.

Technologies Used

• Python
• Flask
• OpenCV
• face_recognition library
• Firebase
• HTML/CSS

Installation

Provide instructions on how to install and run the project on a local machine. For example:

git clone https://github.com/your-github-username/face-recognition-attendance.git
cd face-recognition-attendance

Usage

Briefly describe how to use the system. For example:

python app.py

Contributing

Information on how others can contribute to the project. For example:

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

License

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Contact

Your contact information for others to reach out for more information or contributions. Email: [email protected] Linkedin: https://www.linkedin.com/in/saeed-adeeb/