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ISSN 2063-5346
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Design & development of an Artificial Intelligence based attendance monitoring system for chemistry & chemical departments of educational institutions

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Dr. Suhasini V.K., Dr. K.N. Vijayakumar, Pavan Vilas Rayar, Dr. V. Venkataramanan, Dr. Pavithra G., Dr. T.C.Manjunath
» doi: 10.31838/ecb/2023.12.si6.294

Abstract

In this paper, we present the design & development of an Artificial Intelligence based attendance monitoring system for chemistry & chemical departments of educational institutions along with the simulated results. Attendance is critical to the success of any business or industry. As a result, most businesses and institutions require a system to track staff attendance. On the other hand, cloud computing technology is being utilized in the human resource management sector to store the information associated with their respective attendance. It may be an excellent option for processing and storing large amounts of data and improving management effectiveness to a desirable level in a feasible manner. Hence, this paper examines cloud infrastructures for employee attendance management in which the articles are categorized into three groups. The results show that cloud infrastructure has a significant and positive impact on the management of employee / staff / student attendance systems. The concept of artificial intelligence is used in order to monitor and maintain the attendance by capturing the motion pictures of the student when present to analyse the student data at what time the student has entered the class. When references operate properly, they help the people concerned and society by making workplaces more efficient, more effective and safer.

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