Prencencia

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

Method

Step-by-step to run locally:

Fork or clone this repository.
Rename the .env.example file, change to .env and input all the configurations for admin and database.
Create a MySQL database where the database name should be the same as the one that has been written on the .env configuration file.
Create a virtual environment.
Activate the virtual environment.
Install all packages required in the requirements.txt file by using pip install -r requirements.txt.
Migrate the table from migrations folder to the database by using flask db upgrade.
Run the seeder to seed the roles and admin by using flask seed role and flask seed admin command.
To run it locally, use command flask run and you're good to go.
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.

Name		Name	Last commit message	Last commit date
Latest commit History 83 Commits
api		api
migrations		migrations
plot		plot
src		src
templates		templates
.env.example		.env.example
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
app.py		app.py
config.py		config.py
requirements.txt		requirements.txt
testing.ipynb		testing.ipynb
training.ipynb		training.ipynb