
AutoProctor
AutoProctor is an AI-enhanced online exam monitoring system that seamlessly integrates with common platforms and custom sites. It ensures assessment integrity by detecting dishonest behaviors through real-time analysis of webcam, microphone, and screen activity, making it scalable for various testing needs.
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AutoProctor is an advanced online proctoring service that leverages artificial intelligence to safeguard exam integrity. It monitors test-takers in real-time by analyzing video from webcams, audio from microphones, and on-screen activity to identify potential misconduct. The platform offers easy integration with widely-used tools like Google Forms and Microsoft Forms, as well as its proprietary Socratease quiz builder, allowing for quick setup and adaptable customization. Its AI algorithms are designed to flag suspicious actions, including switching browser tabs, the appearance of unauthorized individuals, and unusual background sounds. Comprehensive reports and a trust score are generated for each session, aiding evaluators in upholding fairness. For bespoke solutions, AutoProctor provides SDK and API access to embed its proctoring capabilities directly into existing educational or corporate assessment systems, catering to schools, businesses, and large-scale testing events.
Key Features
AI-Powered Proctoring: Utilizes intelligent monitoring of camera feed, audio input, and screen content to identify cheating attempts such as navigating away from the test, detecting extra people, or picking up suspicious noises.
Seamless Integration: Compatible with Google Forms, Microsoft Forms, and the native Socratease platform, alongside developer tools like SDK and API for incorporation into custom-built websites or applications.
Flexible Exam Formats: Accommodates a wide range of assessment styles, from coding challenges and written essays to spoken responses and randomized question sets, supporting diverse evaluation requirements.
Detailed Reporting & Trust Scores: Delivers in-depth analytics on any irregularities and calculates a trustworthiness metric for each candidate, simplifying the process of pinpointing questionable activity for administrators.
Scalable & Team-Friendly: Engineered to handle proctoring for thousands of concurrent examinees, with organizational plans that facilitate shared access and collaborative management for teams.
Privacy-Focused Data Handling: Prioritizes user privacy by performing most data analysis locally on the candidate's device; storage settings are adjustable, and information can be permanently erased post-review.
Use Cases
Educational Exams: Protects the integrity of high-stakes academic tests, including final examinations, weekly quizzes, and scholastic competitions, by preventing academic dishonesty.
Corporate Internal Assessments: Facilitates secure testing for employee training programs, certification checks, and skills evaluations within companies, ensuring reliable results.
Recruitment Testing: Provides a trustworthy environment for pre-employment screening, verifying that candidates complete tests authentically without unfair advantages.
Custom Platform Integration: Empowers organizations to enhance their own assessment software with robust proctoring features through available JavaScript SDK and REST API options.
Large-Scale Online Olympiads: Supports massive, internationally attended academic contests with powerful monitoring tools built for high participant volume and varied question formats.