We seek to provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology.
Build With -
Module Used -
All The Module are Latest Version.
Face Recognition Algorithms -
Software Used -
First Download or Clone the Project on Your Local Machine.To download the project from github press Download Zip
You can clone the project with git bash.To clone the project using git bash first open the git bash and write the following code
git clone https://github.com/kmhmubin/Face-Recognition-Attendance-System.git
After download, Open the project using Pycharm or VSCODE. Then we have to create an python enviroment to run the program.
First open the terminal or command line in the IDE.Then write the following code.
python -m venv env
Then activate the enviroment using the code below for windows.
[ Notice: If your pc don't have virtual enviroment or pip install the follow this link. How to create Virtual Enviroment ]
After creating the enviroment on your project let's install the necessary packages.
To install those package open the terminal or command line and paste the code from below
pip install opencv-contrib-python
pip install numpy
pip install pandas
pip install Pillow
pip install pytest-shutil
pip install python-csv
pip install yagmail
[ **Notice: During the package installization, sometime it shows some error, to avoid those error you can install those packages as admin. ]
After creating the enviroment and installing the packages, open the IDE terminal/command line to run the program. Using the code below.
Here is a demo to run the program. I'm Using the Pycharm IDE in my demo.
If you want to use it just follow the steps below.
This project have some bugs.
If you want to contribute in this project feel free to do that. A contribution guideline will be a big help.
Thanks you, for contributing.
Thanks to Farhat Tasnim work with me.
MIT © K.M.H. Mubin