A ML model to keep watch on exam candidates through webcam and create and update observations.
To understand Working view WORKING.md
If you want to try/ test this project download or clone the repository.
*Below two installations i.e. "Installations for server" & "Database installation" are needed to run the server to see the observations in browser
*Do those on your local machine or in pyenv
Installations for server
pip install flask
pip install pymongo
Database installation
First install mongoDB
Create a database 'exam_surveillance'
In 'exam_surveillance' create collection 'statss'
* Installations below are to run ML model
* I assume that you already have Anaconda & PyCharm
open PyCharm -> click create new project -> select location where downloded folder is present -> select "new environment using"-> from drop down select "conda"-> select python version "3.8" -> uncheck "create a main.py welcome script" -> click create project -> click "create from existing resources"
click right bottom corner -> click interpreter settings-> click "+" button to install packages given below\
*To install search name and click install package
dlib
opencv
requests
How to run
you need to run two programs "app.py" & "exam_surveillance.py"
to run app.py run foollowing command in commandline
cd exam_surveillance
flask run
Run exam_servilllence.py in PyCharm
you will get a window of your webcam
Now go to http://127.0.0.1:5000/surveillance to view observations
Page will automatiaclly refresh after every 30 seconds & records will be updated every 30 seconds.