Advanced artificial intelligence and machine learning technologies powering intelligent exam monitoring
ExamPortal leverages cutting-edge AI and machine learning technologies to provide intelligent, automated proctoring, ensuring exam integrity while maintaining student privacy.
State-of-the-art artificial intelligence algorithms continuously monitor and analyze exam sessions in real-time
Advanced facial recognition using TinyFaceDetector and FaceLandmarks68Net models for accurate identity verification
Intelligent algorithms analyze head movements, gaze patterns, and distance changes to detect suspicious behavior
AI-powered audio analysis using Web Audio API and speech recognition to detect unauthorized communication
Advanced AI algorithms detect multiple faces in the camera view, identifying unauthorized assistance
Intelligent detection of screen-related activities including multiple monitors, browser tabs, and application switching
Machine learning algorithms adapt detection thresholds based on environmental conditions and user behavior patterns
Built on cutting-edge AI and machine learning frameworks
JavaScript face recognition library for browser-based AI
Real-time audio processing and analysis
Browser-based speech-to-text analysis
Custom machine learning for pattern recognition
See how ExamPortal's advanced AI and technology ensure exam integrity through intelligent monitoring