Class Insight: A Student Monitoring System with Real-time Updates using Face Detection and Eye Tracking

Abstract

The student monitoring system represents a detailed description of Class Insight. It explains the purpose and the features of the system. It also interprets the interfaces, the working procedures of the system, the constraints under which it will operate and how the system will react to external stimuli. This is a machine learning-based student monitoring system that allows teachers to submit an assessment to students completely paperless. It provides tools for teachers and students to keep track of their assignments, reading materials and other tasks. The application will keep track of the students' face and eye while reading and will update progresses instantly. As a result, instructors can track real-time updates of the tasks. They will also be notified whether it is the student's face or not and how much time they spent on a single page of the reading materials. This will be generated as a report.