Career Guidance System Using Machine Learning

Authors

  • Subiddhya Panthee Advanced College of Engineering and Management, Nepal
  • Sudikshya Rajkarnikar Advanced College of Engineering and Management, Nepal
  • Rabiya Begum Advanced College of Engineering and Management, Nepal

DOI:

https://doi.org/10.3126/jacem.v8i2.55947

Keywords:

Career Guidance System, Decision tree, Machine Learning, Random forest model

Abstract

Career Guidance System is important for students going through academic and pursuing courses to access their capabilities and identify their interests. This paper mainly concentrates on career guidance through personality prediction. It helps them decide which job role suits the best based on their performance and other evaluations. The system will predict the Big Five personality, and VAK learning type of the users through data collected from web-based questionnaires. The system recommends different career choices based on their answers. Machine learning algorithms will be used to check the performance of the system and validate the result. 

Downloads

Download data is not yet available.
Abstract
96
PDF
406

Author Biographies

Subiddhya Panthee, Advanced College of Engineering and Management, Nepal

Department of Electronics and Computer Engineering

Sudikshya Rajkarnikar, Advanced College of Engineering and Management, Nepal

Department of Electronics and Computer Engineering

Rabiya Begum, Advanced College of Engineering and Management, Nepal

Department of Electronics and Computer Engineering

Downloads

Published

2023-06-23

How to Cite

Panthee, S., Rajkarnikar, S., & Begum, R. (2023). Career Guidance System Using Machine Learning. Journal of Advanced College of Engineering and Management, 8(2), 113–119. https://doi.org/10.3126/jacem.v8i2.55947

Issue

Section

Articles