Prencencia

Attendance System with Face Recognition Technology. Built using Tensorflow, OpenCV, Flask Microframework.

Method

Run Locally

Step-by-step to run locally:

1. Fork or clone this repository.
2. Rename the .env.example file, change to .env and input all the configurations for admin and database.
3. Create a MySQL database where the database name should be the same as the one that has been written on the .env configuration file.
4. Create a virtual environment.
5. Activate the virtual environment.
6. Install all packages required in the requirements.txt file by using pip install -r requirements.txt.
7. Migrate the table from migrations folder to the database by using flask db upgrade.
8. Run the seeder to seed the roles and admin by using flask seed role and flask seed admin command.
9. To run it locally, use command flask run and you're good to go.
10. Access the website by opening http://127.0.0.1:5000 to open the attendance check-in and check-out feature. To access the admin side you need to open http://127.0.0.1:5000/admin.

License

MIT