Machine Learning based Algorithms for Empowering Performance of the Students using Radio Frequency Identification.

Abstract

The use of RFID has been very prominent in the recent times. Not just as a part of identification in professional world, it has been a common entity with students for monitoring their attendance in universities. The data captured through RFID module are being used for predictive analysis. It has been a major development in the field of data analytics and cognitive thinking. However, though the deployment has been widespread, the results and its precision are achievable only if reliable machine learning algorithms are used. A lot of challenges are encountered, while trying to extract the data from the RFID tag. Few of them include, the size of the chip, its amalgamation with biometric to make the data secured. In this project, the datasets that are extracted from RFID tag which also includes an extra level of authentication in the form of one factor and two factors are sent to cloud server where a series of algorithms are used to get the possible results. The average values computed through mathematical formulae are now compared with the results produced by artificial intelligence an algorithm which in turn gives us the precision involved in the process.