Career Prediction System

Authors

  • V Madhan Mohan Reddy  Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Andhra Pradesh, India

Keywords:

Council of Scientific and Industrial Research, post-graduation, under graduation

Abstract

In today's world Choosing an appropriate career path is one of the most important decisions and with the increase in the number of career options and opportunities, making this decision even more difficult for the students. Different people suggest different career paths but at last, the student must select their career. According to the survey conducted by the Council of Scientific and Industrial Research’s (CSIR), about 40% of students are confused about their career options. This may lead the students to wrong career selection and then working in an area which was not meant for them, this leads their career in wrong path, and this may not be good for their career as well as for the country. Therefore, it is quite important to take a right decision regarding the future career. This system would help students studying in under graduation or post- graduation to select a correct career path for their career. The system would recommend the student, a career option based on their skills in various fields and areas. This career prediction system mainly concentrates on the career prediction of computer science and engineering domain candidates. This system will help them in deciding in which job role the candidate should be fit in.

References

  1. D. M. D. Angeline, Association rule generation for student performance analysis using apriori algorithm, The SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 1 (1) (2013) p12–16.
  2. M. M. Quadri, N. Kalyankar, drop out feature of student data for academic performance using decision tree techniques, Global Journal of Computer Science and Technology 10 (2).
  3. Khasanah, Annisa Uswatun. "A review of student’s performance prediction using educational data mining techniques." Journal of Engineering and applied sciences 13: 5302-5307.
  4. OTOBO Firstman Noah, BAAH Barida and Taylor Onate Egerton, "Evaluation of student performance using data mining over a given data space", International Journal of Recent Technology and Engineering (2013):4

Downloads

Published

2021-08-30

Issue

Section

Research Articles

How to Cite

[1]
V Madhan Mohan Reddy "Career Prediction System" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 4, pp.54-58, July-August-2021.