Online Examination & Proctoring System

The increasing adoption of online education has created a strong demand for secure and reliable examination systems,

while simultaneously raising concerns regarding academic integrity in remote environments. This paper presents an enhanced

AI-based Online Examination Proctoring System (OEPS) that incorporates role-based access control, biometric identity

verification, and realtime behavioral analysis to ensure fair and transparent online assessments. The system is designed using a

full-stack architecture consisting of a React-based frontend, a Node.js and Express backend, Supabase database integration, and

a FastAPI-based AI microservice. During student registration, facial data is captured and stored, which is later used for identity

verification before theexamination begins. Real-time monitoring is performed using computer vision techniques through

libraries such as face-api.js and MediaPipe to detect cheating behaviors including head movement, absence of face, and multiple

face detection. All suspicious activities are logged as violations and made accessible to teachers via a dedicated dashboard for

analysis. Additionally, the system supports exam creation, publishing, OCR-based question extraction using Tesseract.js, and

performance analytics. The admin module provides complete system oversight by allowing accessto both teacher and student

dashboards. Experimental observations indicate that the systemeffectively minimizes cheating, enhances examsecurity,

andreduces reliance onmanualinvigilation, making it a scalable and efficient solution for modern digital education platforms.