
ExamVault: Online Examination System with Live Proctoring | IJCT Volume 12 – Issue 6 | IJCT-V12I6P3


International Journal of Computer Techniques
ISSN 2394-2231
Volume 12, Issue 6 | Published: November – December 2025
Author
Udhayasankar R, Siddharth AJ, Poovarsan k,Sivamuthu E,Buvana M
Abstract
Exam Vault: Online Examination System with Live Proctoring is an advanced digital assessment platform designed to streamline the conduct of secure online exams for educational institutions and organizations. The system integrates robust features such as AI-driven proctoring, automated candidate registration, flexible question bank management, and instant result analytics. The live proctoring module uses real-time monitoring and intelligent algorithms to detect and prevent malpractices, ensuring exam integrity. The platform supports multiple question formats and automates processes from scheduling to results generation, reducing administrative workload while enhancing efficiency and security. Exam Vault’s intuitive interface provides a seamless experience for stakeholders, scalable exam delivery across geographies, and detailed insights for continuous improvement. By leveraging adaptive technology and enterprise-grade security, Exam Vault promotes transparent, reliable, and accessible online assessments
For modern education needs
Keywords
^Conclusion
The Online Examination System with Live Proctoring successfully addresses the key challenges faced in conducting remote examinations, such as authentication, cheating prevention, and data security. By integrating artificial intelligence, web-based automation, and real-time monitoring, the system ensures that online assessments maintain the same integrity and credibility as traditional in-person exams.
The platform’s design enables smooth interaction between students, faculty, and administrators through a secure and intuitive interface. It provides end-to-end functionalities — from question paper generation to live proctoring, result evaluation, and report generation. The incorporation of AI-driven proctoring techniques such as face detection, tab-switch detection, and audio analysis enables continuous supervision throughout the examination process. This intelligent monitoring significantly reduces the chances of malpractice and ensures transparency.
Moreover, the system’s modular architecture enhances scalability and performance, allowing multiple users to take part in exams simultaneously without compromising response time or security. The use of encrypted data communication and secure authentication methods further ensures the confidentiality of user information and examination data. By automating administrative tasks and minimizing human intervention, the platform saves time and resources while maintaining high accuracy in result processing.
In essence, the Online Examination System with Live Proctoring bridges the gap between flexibility and fairness in digital education. It not only provides convenience for institutions and learners but also contributes to the growing global need for reliable, technology-driven educational tools. The project demonstrates how AI and software engineering can collaboratively enhance the trustworthiness and accessibility of online assessments in academic and professional environments.
While the current system provides a robust and secure solution, there is considerable potential for enhancement through emerging technologies.
Future developments may include:
Advanced AI Models:
Implementing deep learning–based behavioral analysis to improve detection accuracy for cheating, emotional state, and focus level.
Voice Recognition and Natural Language
Processing (NLP):
Integrating speech recognition to identify unauthorized verbal communication during exams and to enable voice-controlled navigation for differently abled users.
Browser Lockdown and Screen Activity Capture: Enhancing exam security by restricting access to external websites, screen sharing, or secondary devices during the examination.
Cloud-based Scalability:
Hosting the platform on distributed cloud servers to support a large number of simultaneous users globally, ensuring uninterrupted performance.
Blockchain for Data Integrity: Using blockchain technology to store exam data and proctoring logs, providing an immutable and transparent record of examination activities.
Mobile Application Integration:
Developing Android and iOS applications to make the system more accessible for students using mobile devices.
By integrating these advancements, the system can evolve into a next-generation digital examination ecosystem that offers complete automation, intelligent monitoring, and universal accessibility. The project thus holds significant promise for shaping the future of secure online assessments in educational institutions, recruitment processes, and certification programs.
References
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