Career Path Suggestion using String Matching and Decision Trees

TL;DR

This paper proposes a method for career path suggestion for graduates using string matching and decision trees, aiming to guide students towards their target careers based on their educational status.

Contribution

It introduces a novel combination of string matching and decision trees for personalized career path recommendation based on educational data.

Findings

Effective career suggestions based on educational status

Decision trees improve recommendation accuracy

Potential for further model enhancements

Abstract

High school and college graduates seemingly are often battling for the courses they should major in order to achieve their target career. In this paper, we worked on suggesting a career path to a graduate to reach his/her dream career given the current educational status. Firstly, we collected the career data of professionals and academicians from various career fields and compiled the data set by using the necessary information from the data. Further, this was used as the basis to suggest the most appropriate career path for the person given his/her current educational status. Decision trees and string matching algorithms were employed to suggest the appropriate career path for a person. Finally, an analysis of the result has been done directing to further improvements in the model.