@@ -86,7 +86,7 @@ The initial build support only linux based platforms.
\subsection{Getting dependencies ready}
In order to use Protracktor you first need to make sure you have all the dependencies installed. If you haven't installed them don't worry we have your back.\\
We have made an installer.sh file which will take care of all the dependencies and requirements for the project.\\
To run installer.sh, go to the project directory "Protracktor" where installer.sh is present and then run the following commands\\
To run installer.sh, go to the project directory "Protracktor$>$source" where installer.sh is present and then run the following commands\\
\begin{verbatim}
$ chmod +x installer.sh
$ ./installer.sh
...
...
@@ -131,7 +131,7 @@ All the functionalities and how to use them is depicted ahead in the next sectio
After installing all the dependencies and the requirements only thing left is see how to operate our program.\\
Go to the main directory "Protracktor" and in that go to source directory. After that run the following command in terminal
\begin{verbatim}
$ python3UI.py
$ python3main.py
\end{verbatim}
This will start the application!
\subsection{Main window}
...
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@@ -232,6 +232,8 @@ Two types of notification are issued to the user.
\begin{center}
\includegraphics[scale=0.8]{InternetUp.png}
\end{center}
\section{Usefulness}
The current scenario of online semester and online proctoring will most likely to continue in future and this local proctoring program is the first step in easing both students and invigilators burden by hassle free management due to loss of internet connection. The data generated in the form of log files, videos, time stamps, data usage, and activity usage can be used very efficiently for training of future AI based proctoring models. The initial runs of the program on the current video based proctoring through online channels were really useful. If used by the students or invigilators they will surely appreciate the usefulness of video recording and screen recording at the instant of internet loss and they can focus on the exam rather than focussing on the setup.
\section{Future Enhancements}
We would like to make the platform more robust with more functionalities. We would like to make the program support multiple platforms.\\
This Would be helpful in gathering data and making ai based proctoring systems