Abstract
Abstract: The COVID-19 epidemic outbreak has rebounded in an unknown extrimity across the globe. The epidemic created an enormousdemand for innovative technologies to break extremity-specific problems in different sectors of society. Inthe case of the education sector and confederated literacy technologies, significant issues have surfaced while substituting face-to-face literacy with onlinevirtual literacy. Several countries have closed educational institutions temporarily to palliate theCOVID-19 spread. The check of educational institutions impelled the preceptors across the globe to use online meeting platforms considerably. The virtual classrooms created by online meeting platforms are espoused as the only volition for face-to face commerce in physical classrooms. In this regard, scholars’ attendance operation in virtual classes is a major challenge encountered bythe preceptors. Pupil attendance is a measure of their engagement in a course, which has a direct relationship with their active literacy. Still, during virtual literacy, it is exceptionally grueling to keep track of the attendance ofscholars. Calling scholars names in virtual classroom to take attendance is both trivial and time-consuming. Therefore, in the background of the COVID-19 epidemic and the operation of virtual meeting platforms, there is a extremity-specific immediate necessity to develop a proper shadowing system to cover scholars attendance and engagement during virtual literacy. In this design, we are addressing the epidemic -convinced pivotal necessity by introducing a new approach.In order to realize a largely effective and robust attendance operation system for virtual literacy, we introduce the Random Interval Query and Face Recognition Attendance ManagementSystem(henceforth, AI Present).To the stylish of our knowledge no similar automated system has been proposed so far for tracking scholars attendance and icing their engagement during virtual literacy
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