AI Based Attendance Development System

AUTHOR(S)

Kshitij Prasad, Ujjwal Kumar Singh, Pritish Priyadarshi Patra, Sudarshan D. Pai, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G.

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.088

ABSTRACT
AI Based Attendance Development System is presented in this paper. Ensuring staff attendance is crucial for the success of any business or industry. As such, most organizations require a system to track attendance. Cloud computing technology is increasingly being utilized in the human resource management sector to store attendance information, as it offers an excellent option for processing and storing large amounts of data and improving management effectiveness in a feasible manner. This paper explores the use of cloud infrastructures for managing employee attendance, which is categorized into three groups. The study shows that cloud infrastructure has a significant and positive impact on managing employee / staff / student attendance systems. Artificial intelligence is also used to monitor and maintain attendance by capturing motion pictures of students when present to analyze the student data, including the time they entered class. When implemented correctly, these systems improve workplace efficiency, effectiveness, and safety, benefiting both the people involved and society as a whole. The work done & presented in this paper is the result of the mini-project work that has been done by the first sem engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the starting of their engineering career and also to test the presentation skills during their mini-project presentation. The work done & presented in this paper is the report of the assignment / alternate assessment tool as a part and parcel of the academic assignment of the first year subject on nanotechnology & IoT.
Page No: 590 - 593

References:

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How to Cite This Article:
Kshitij Prasad, Ujjwal Kumar Singh, Pritish Priyadarshi Patra, Sudarshan D. Pai, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G. .AI Based Attendance Development System . ijetms;7(3):590-593. DOI: 10.46647/ijetms.2023.v07i03.088