Facial Recognition for Attendance Tracking Introduction Welcome to our Facial Recognition for Attendance Tracking project! This repository contains the implementation of a system designed to track attendance in classrooms or workplaces using facial recognition technology.
Key Features Real-time facial recognition Integration with Firebase for real-time database and storage Utilization of essential libraries: face_recognition, cv2, cvzone, numpy, pickle Table of Contents Getting Started Prerequisites Installation Usage Configuration Run Methodology Results Team Collaboration Future Directions Contributing License Getting Started Prerequisites Python 3.x Required Python libraries: face_recognition, cv2, cvzone, numpy Installation Clone the repository:
bash Copy code git clone https://github.com/your-username/attendance-facial-recognition.git Install dependencies:
bash Copy code pip install -r requirements.txt Usage Configuration Update the Firebase credentials in config/firebase_config.json. Run Run the main script: bash Copy code python main.py Methodology Outline the steps and processes involved in the project methodology.
Results Highlight the outcomes and results obtained during the testing phase.
Team Collaboration Briefly describe the collaboration within your team, specifying each member's role and contribution.
Future Directions Discuss potential areas for future research and development.
Contributing Feel free to contribute to the project by following our Contributing Guidelines.
License This project is licensed under the MIT License.