This project is made with an intent of serving as a replacement for traditional means of attendance which is quite slow and error-prone.

The new Face Recognition Attendance System is a modern replacement for that and is both faster and reduces the error factor.

1. Python3
2. SciKit
3. Streamlit
4. OpenCV

1. Clone the github repository onto your chosen directory.

   git clone https://github.com/adarshkunwar/attendance-python

2. Move onto the new repository

   cd attendance-python

3. Run the run.sh script

   ./run.sh

depending on the problems that arise, the solution will be different.

1. Streamlit module not found.

   pip3 install streamlit
   pip3 install streamlit_autorefresh

2. OpenCV module not found

   pip3 install opencv-python

3. Sclearn module not found

   pip3 install -U scikit-learn

4. Win32com module not found

   pip3 install pywin32

5. [x,y] matrix error

   1. throw away the existing data/faces_data.pkl and data/names.pkl file
   2. start the prject and press 1.