A secure online examination system

Abstract

This report discusses the development of a web-based Online Examination System (OES) for higher education institutions to address the limitations of traditional examination methods. These limitations include question leakages, cheating, biases, and human errors. To overcome these challenges, the project aims to develop a robust and secure OES that incorporates smart motion detection and facial validation functions. The OES will also incorporate a video conferencing feature for live proctoring to ensure the integrity of the examination process.

The main objective of the project is to develop a web-based OES using Angular for front-end implementation, Flask and RESTful API for backend server, and MySQL for database implementation. Visual Studio Code was used as the primary programming tool, while XAMPP was used to set up the database connection. The project focused on the development of the OES with separate roles for the Administrator, the Examiner, and the Student. The development of admin and examiner functionalities, including account management, exam management, live proctoring, and motion detection, were prioritized.

The web-based OES system was successfully developed and implemented. The facial recognition model and motion detection feature provided a smoother process for validating candidates and preventing identity theft and suspicious behaviors. The system's video conferencing feature enabled live proctoring to ensure the integrity of the examination process. Examinations using this system can be conducted using students' personal computers or laptops at their preferred locations. In this report, the implications of the project findings and the implementation methodology in comparison to the available literature review are discussed. The report provides a detailed overview of the design, implementation, and future recommendations for improvement.