Alice Exam Proctor is an AI-powered online examination proctoring system designed to enhance the integrity and security of remote assessments. Developed by Aditya Singh Rajput, the platform combines computer vision, real-time monitoring, and intelligent violation detection to identify potentially suspicious activities during online examinations.

The system uses MediaPipe Face Mesh, Iris Landmarks, and face detection technologies to monitor candidate presence, facial orientation, and gaze-related behavior. It also incorporates audio monitoring and real-time event tracking to identify potential examination violations.

Key Features

• AI-based face and presence monitoring.

• Gaze tracking using MediaPipe Face Mesh and Iris Landmarks.

• Real-time audio monitoring.

• Suspicious activity and violation detection.

• WebSocket-based real-time communication.

• Violation metadata and event reporting.

• Secure online examination monitoring workflow.

Technology Stack

React.js, Django, Python, MediaPipe, Face Mesh, WebSockets, MongoDB Atlas.

Developer: Aditya Singh Rajput
Project Category: Artificial Intelligence | Computer Vision | EdTech
GitHub: https://github.com/adii0018/Alice-exam-proctor