This project is a face recognition-based attendance system that uses OpenCV and Python. The system uses a camera to capture images of individuals and then compares them with the images in the database to mark attendance.

1. Clone the repository to your local machine. git clone https://github.com/Arijit1080/Face-Recognition-Based-Attendance-System
2. Install the required packages using pip install -r requirements.txt.
3. Download the dlib models from https://drive.google.com/drive/folders/12It2jeNQOxwStBxtagL1vvIJokoz-DL4?usp=sharing and place the data folder inside the repo

1. Collect the Faces Dataset by running python get_faces_from_camera_tkinter.py .
2. Convert the dataset into python features_extraction_to_csv.py.
3. To take the attendance run python attendance_taker.py .
4. Check the Database by python app.py.

Contributions are welcome! Please feel free to submit a pull request or open an issue if you find any bugs or have any suggestions.