deepanshu-Raj/AI-Proctoring-Framework

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.

36
/ 100
Emerging

This framework helps educational institutions conduct online examinations by automatically monitoring student behavior for suspicious activity. It takes live video feed from a student's webcam during an exam and outputs a real-time 'suspicion score,' issuing warnings or even ending the test if the score exceeds set thresholds. Educators, exam administrators, and e-learning platforms would find this useful for maintaining academic integrity.

No commits in the last 6 months.

Use this if you need an automated system to detect potential cheating during online exams without requiring human proctors.

Not ideal if you require voice-based proctoring or a solution that deeply integrates with existing learning management systems beyond basic alerts.

online-education exam-proctoring academic-integrity e-learning assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

10

Forks

5

Language

Python

License

MIT

Last pushed

Feb 16, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/deepanshu-Raj/AI-Proctoring-Framework"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.