AI Proctor by Qlay

AI Proctor by Qlay is a specialized online proctoring solution designed to detect sophisticated AI-assisted cheating and other forms of academic dishonesty during remote exams and interviews. This tool is specifically for educational institutions, certification bodies, and hiring teams who need to ensure the integrity of their online assessments. Its core value lies in leveraging advanced AI models through a mobile application to create a robust, multi-angle monitoring system that goes beyond traditional screen recording, directly addressing the modern challenges of remote evaluation. By transforming a candidate's smartphone into a secondary monitoring device, it provides a comprehensive view of the test environment, making it significantly harder for test-takers to employ unauthorized aids or collaborate without detection.

The concrete problem AI Proctor solves is the rampant and evolving issue of cheating in unproctored online settings, which undermines the credibility of certifications, academic grades, and hiring decisions. As remote testing becomes ubiquitous, traditional methods like simple webcam monitoring are easily circumvented by tech-savvy individuals using secondary devices, virtual machines, or AI tools to generate answers. This matters profoundly to organizations because fraudulent results devalue their credentials, lead to unqualified candidates being selected, and create massive administrative burdens in investigating and rectifying integrity breaches. The product directly tackles this pain point by introducing an additional, intelligent layer of surveillance that specifically looks for the digital and physical tools commonly used in modern cheating.

A first major feature group is the use of a mobile app to turn smartphones into secondary cameras with object detection AI models. This works by having the test-taker install the Qlay Proctor Client app on their phone, which then streams video from the smartphone's camera to the proctoring system alongside the primary computer webcam feed. The AI models analyze this secondary video feed in real-time to detect suspicious objects like secondary phones, tablets, books, or notes that might be out of the main webcam's field of view. This is exceptionally useful because it closes a major loophole in remote proctoring; candidates can no longer simply place illicit materials beside or behind their primary monitor, as the smartphone camera, positioned at an angle, provides a panoramic view of the desk and immediate surroundings.

The second major feature group is the detection of sophisticated AI-assisted cheating, which refers to the use of large language models or other generative AI tools to produce answers during an exam. While the exact technical methodology is proprietary, the system likely analyzes patterns in typing behavior, application switching, gaze direction, and perhaps audio cues to identify interactions with an external AI interface. This capability is critical as AI tools become more accessible and subtle, representing a new frontier in academic dishonesty that traditional plagiarism detectors cannot catch. By focusing on this specific vector, AI Proctor provides a forward-looking solution that protects the validity of assessments even as cheating technology evolves.