AI Proctored Examination System

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AI Proctored Examination System

Table of Contents

• About the Project
  • Built With
• Getting Started
  • Installation
  • Running the Application
• How it Works
• Contributing
• License
• Acknowledgements
• FAQ

About The Project

In COVID times, when exams all over the world are conducted virtually,there is an indispensable need for such a platform. The use of Artificial Intelligence to come up with a more intelligent and secure approach to tackle this problem ensuring integrity of unsupervised examinations is the purpose of this Project. This Web Application provides facility to online examinations Nationwide. It saves time as it allows a number of students/candidates to give the exam at same time and display the results at the end of the test, so there is no need to wait for the result. It is evaluated and generated by the server. Administrator has privileges to create, modify and delete the test papers and its particular questions. Users can register, login and give the test with his specific id, and can see the results as well.

Built With

• Python 3.6.9
• OpenCV
• Node.js

Getting Started

Follow the Below Instructions for setting the project up on your local Machine.

Installation

1. Clone the repo

   git clone https://github.com/SuyashMore/AI-Proctored-Examination-System.git

2. Install Dependencies

   cd src/BackendServer/
   npm install
   pip install oci borneo

Running the Application

The Application Consists of Multiple Servers. Refer the Architecture for more details.Run the Service Servers in Multiple Terminals

Test Service

sudo python3 src/TestServer/server.py

Result Service

sudo python3 src/ResultServer/server.py

Authorization Service

sudo python3 src/AuthServer/server.py

Main Backend Server

cd /src/BackendServer
npm run dev

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

• Google

FAQ

• How do I do specifically so and so?
  • Create an Issue to this repo , we will respond to the query