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Innovative Machine Learning-Supported Proctoring Platform

Project Overview

Oxagile leveraged state-of-the-art technology including WebRTC and machine learning to help a leading U.S. proctoring service enhance their flagship exam monitoring platform. The updated solution serves as an intuitive exam supervisor while supporting both live and automated sessions.

Key features and highlights:

  • seamless WebRTC-based video stream capture and playback;
  • automated session flagging with a wide range of triggers (light and audio level changes, head movements, window resize events, and more);
  • scoring functionality that assigns penalty points for suspicious activity;
  • user identity validation based on a biometric profile;
  • machine learning-supported face recognition;
  • easy-to-use text and audio chat functionality;
  • advanced reporting and statistics.

With smart, data-driven automation in place, the platform is poised to scale at a much higher rate, helping the client reinforce their position of a well-established proctoring service provider.

Project Technology Stack
React, C++, OpenCV, Ruby on Rails, PostgreSQL, FreeTDS, Java, Kurento Media Server
Timeframe and Workload
Duration: 9 months
Effort: Ongoing

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