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Design and Feasibility Analysis of NSUGT A Machine Learning-Based Mobile Application for Education | IEEE Conference Publication | IEEE Xplore

Design and Feasibility Analysis of NSUGT A Machine Learning-Based Mobile Application for Education


Abstract:

This paper represents Machine Learning based mobile application NSUGT developed from core programmable attributes. North South University Grade Tracker also known as NSUG...Show More

Abstract:

This paper represents Machine Learning based mobile application NSUGT developed from core programmable attributes. North South University Grade Tracker also known as NSUGT is an android application that comes in handy for learners. It is a tool to cut through the stiffs in climbing the way to achieve a degree. Initially, it is a grade calculator that further computes CGPA (Cumulative Grade Point Average) by school criteria. This ultimately combines and turns into a form able grade sheet. Further, it notifies with pop-up alerts alarming for upcoming classes, exams, or assignments that are due. This feature also enables to view users a week, months, or even the whole semester. And finally, the app has a unique feature using machine learning it will allow a user to view or choose a track that consists of preferable timing and recommends the best possible courses to register for the time being. The following paper discusses the illustrated features and attributes of this application NSUGT.f
Date of Conference: 27-30 January 2021
Date Added to IEEE Xplore: 17 March 2021
ISBN Information:
Conference Location: NV, USA

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