A fuzzy based conceptual framework for career counselling

TL;DR

This paper proposes a fuzzy logic-based framework to automate career counseling for students, analyzing capabilities and suggesting suitable courses and jobs, especially targeting rural students in India.

Contribution

It introduces a novel fuzzy-based conceptual framework that assesses student capabilities and recommends careers, integrating fuzzy inference and relation composition techniques.

Findings

Fuzzy sets effectively analyze student capabilities based on academic and vocational interests.

The framework successfully suggests relevant courses and jobs using fuzzy inference rules.

The approach demonstrates potential for automating career guidance in rural Indian contexts.

Abstract

Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities, suggest a career and provide related information. Keeping in mind the requirement, the present paper is an effort in this direction. In this paper, a fuzzy based conceptual framework has been suggested. It has two parts; in the first part a students will be analyzed for his/her capabilities and in the second part the available courses, job aspects related to their capabilities will be suggested. To analyze a student, marks in various subject in 10+2 standards and vocational interest in different fields have been considered and fuzzy sets have been formed. On example basis, fuzzy inference rules have been framed for analyzing the abilities in engineering, medical and hospitality fields only. In second part, concept of composition of relations has been used to suggest the related courses and jobs.