Deep Learning Architecture based on Behavioral and Academic Perspectives for Classifying Students in a University
Srivats S. Ramanujam, J. Naren, Nivedha Jayaseelan, Vijayalakshmi and Dr.G. Vithya
Research on the academic records of students has become increasingly popular. Recent research results advocates’ prospects that a student’s lifestyle and personality can have a major impact on his/her ethos. It has become increasingly common for students studying in universities to not fully realize the potential and prospects in a professional sphere. Technology can aid students in realizing their caliber and prosper in the professional domain. In the proposed work, a system has been suggested which examines the feasibilities of the impact that personality features can have on a student’s career in addition to academic performance.
Volume: Volume 23
Issues: Issue 1
Keywords: Deep Learning, Students Academic Performance.