DAMS-DYNAMIC ATTENDANCE MANAGEMENT SYSTEM

Anita Lahane, Tejaswi Rohit Anupindi, Vishal Badrinarayanan, Ipshita Dutta

Abstract: This paper describes a project which aims at the implementation of an online student teacher attendance management system which can act as an efficient means in maintaining proper correct and updated records. With the amalgamation of the various tools and techniques in data base, data mining and web technologies we can implement an online attendance management system. Attendance can be accessed anytime and personalized reports can be generated for each student or teacher. This project can also double as a student teacher portal to share assignments, results and other important notices. An educational institution needs to have an approximate prior knowledge of enrolled students to predict their performance in future academics. This helps them to identify promising students and also provides them an opportunity to pay attention to and improve those who would probably get lower grades. This system which can predict the performance of students from their previous performances using concepts of data mining techniques under Classification. It tracks all the details of a student from the day one to the end of his course which can be used for all reporting purpose, tracking of attendance, progress in the course, completed semesters years, coming semester year curriculum details, exam details, project or any other assignment details, final exam result; and all these will be available for future references too. This can facilitate us to know which teacher / faculty is assigned to which batch, the current status of a batch, attendance percentage of a batch and upcoming requirements of a batch.

Keywords: Attendance, Data Mining and Web

DOI: https://doi.org/10.15623/ijret.2015.0403070