exam-proctoring

AI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.

AI-powered adaptive learning with intelligent exam proctoring

基于计算机视觉与 DeepSeek 云端语义推理的智能考试防作弊监控系统。两级检测架构（本地快速筛选 + 云端精准推理），识别 12 类作弊行为，支持弱网/低功耗/光照自适应。

AI-powered exam proctoring system for online assessments, featuring real-time cheating detection, gaze tracking, face monitoring, object detection, audio analysis, and automated reporting.

AI-Based Smart Exam Proctoring System using Python, OpenCV, Face Recognition, and Tkinter

Sistem pengawasan ujian online berbasis AI — deteksi objek (YOLOv11) dan analisis perilaku (MediaPipe)

Experimental exam proctoring prototype using OpenCV and optical flow

iPad and iPhone app for exam proctors to run 32 individual countdown timers: Swift, UIKit

Real-time AI exam proctoring system for detecting suspicious activities using Computer Vision and Deep Learning.

AI-based system for detecting abnormal activities in online examinations using pre-trained CNN networks.

AI-powered online exam proctoring platform — real-time camera analysis flags suspicious behavior (head-turning, gaze deviation, face-lost) and surfaces it on a proctor dashboard for review. TEDU Computer Engineering senior project. Built with Next.js, TypeScript & Supabase.

AI-powered exam proctoring system with real-time face detection, tab monitoring and integrity reports.

🕑 A flexible full screen clock with a text field. No ads, No complexity - No Distraction.

A privacy-preserving exam integrity platform that replaces video proctoring with behavioral biometrics — keystroke dynamics, mouse patterns, and periodic snapshots.

AI-powered online exam proctoring system built with Spring Boot and OpenCV. Monitors students via webcam during exams, detects suspicious behavior in real time, and logs flagged snapshots for admin review.

Real-time AI exam proctoring system using Python, OpenCV, MediaPipe and YOLO for face, gaze, head pose, hand, object, lighting and camera-frame monitoring.

AI-powered online exam proctoring system using computer vision and deep learning to detect suspicious activities during online examinations.

AI-powered exam proctoring using YOLO and OpenCV for suspicious activity detection, prohibited-object detection, evidence logging, and integrity reporting.

Real-time online exam proctoring system using computer vision and webcam monitoring.

On-device AI phone detection for exam halls and secure areas. Watches webcam, phone or RTSP CCTV feeds and flags phones in real time with photo evidence for a human to confirm. YOLO + FastAPI, shipped as a native desktop app for macOS, Windows and Linux across 29 releases. No video ever leaves the machine.