Employee Attendance System by Real-Time Face Detection.

Developed By Python, Django REST Framework, and OpenCV.

Instructions (Windows 10x64):

Some commands may differ depending on OS. Just google it.
Install latest version of Python3 (64 bit).
Install and active virtual environment directory
1. Open cmd
2. :~$ pip install virtualenv
3. Choose destination: :~$ cd Desktop> virtualenv YourEnvironmentName
Clone this GitHub repository into local machine.
Go to project directory (GitHub repository) where 'manage.py' file exist.
Copy 'YourEnvironmentName' folder to the 'GitHub repository'.
Active virtual environment:
1. :~$ cd YourEnvironmentName\Scripts>
2. :~$ activate
3. (YourEnvironmentName):~$ This '(YourEnvironmentName)' sign will be shown up if virtual environment activated successfully.
4. :~$ cd../.. (exit from Scripts)
Install all the requirements using previously opened CMD where the virtual environment was activated:

(YourEnvironmentName):~$ pip install -r requirements.txt
Run Local Server:

(YourEnvironmentName):~$ python manage.py runserver
PATHs:
1. API: http://127.0.0.1:8000/matched-user/galib/ (API takes any username for: /galib/)
2. EAS Admin dashboard: http://127.0.0.1:8000/admin/
3. Manual input: http://127.0.0.1:8000/user/input/
4. Single object: http://127.0.0.1:8000/user/single-user/galib/ (takes any username for: /galib/)
5. All objects: http://127.0.0.1:8000/user/all-users/
Run OpenCV Face Detection:
1. Go to project directory (GitHub repository) where 'manage.py' file exist
2. Go to openCV_face_recognition directory
3. Open cmd here
4. Type and Hit Enter:
  
  (YourEnvironmentName):~$ python facerecognition.py
Open both CMD (local server and face recognition) and API dashboard to monitoring the outputs
1. status code 201 = Attendance created
2. status code 200 = Attendance already exists
3. status code 404 = ERROR