Creating a software for automatic monitoring in online proctoring
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Updated
Dec 10, 2024 - Python
Creating a software for automatic monitoring in online proctoring
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
AI based Online Exam Proctoring System is an innovative project designed to maintain the integrity and security of online exams using Python and Computer Vision.
🛡️ Detect and respond to security threats in real-time with God-Eye, an AI-driven tool designed for privacy and local deployment on multiple platforms.
A Web-Based Smart Virtual Exam System, using Machine Learning
Automatic online exam proctoring system that provides authentication and abnormal behavior monitoring of examinees in the online examination.
This is an Exam Portal with an AI-based Anti-cheating Proctoring and Invigilation System in Flask (Python).
Procto is an Online Proctoring Tool that ensures Cheating free exams. It has features like Mobile Phone, Book, Laptop Detection, Multiple people detection, Key Press Detection, Tab Switch detection etc.
In this project, we present ways to improve reliability of proctoring by generating plots of each parameter measured during the online evaluation.
AI exam proctoring system using google mediapipe and python
AI‑powered web exam system with face recognition, webcam, browser, and audio checks ensures integrity in remote assessments. Flask prototype reached ~72% functional accuracy and 90%+ detection rates, reducing cheating in online education.
...short biography
AI-Proctoring Framework runs in the background on the examinee’s machine, and tracks any kind of unwanted (Suspicious) activity of the candidate. Mouth Tracking, Blink Detection, Gaze Detection, Object Detection & Liveness Detection are few of the algorithms implemented in this Framework.
PARiKSHA is a unified platform for conducting online assessments.
Proview Integrated sample assessment app for android
Video Interview Proctoring System – A Computer vision, AI/ML & MERN stack web application that monitors candidates during online interviews, detecting focus levels and identifying unauthorized objects in real time to ensure fairness and integrity.
Proctoring using AI to automate the monitoring process using Audio and Visual Aspects.
A lightweight JavaScript library for automated exam supervision. Features real-time tracking for facial presence, ambient audio levels, mouth movement (lip-sync), and gaze estimation.
ML Based Proctoring System using various python libraries and modules
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