Personal Career Recommendation System

Authors

  • Chaganti Revanth Department of Computer Science Engineering, Dayananda Sagar University, Karnataka, India Author
  • Chennareddy Venkata Yaswanth Department of Computer Science Engineering, Dayananda Sagar University, Karnataka, India Author
  • Divya.B Department of Computer Science Engineering, Dayananda Sagar University, Karnataka, India Author
  • K. Sai Sumanth Reddy Department of Computer Science Engineering, Dayananda Sagar University, Karnataka, India Author
  • Veena M Assistant Professor, Department of Computer Science Engineering, Dayananda Sagar University, Karnataka, India Author

DOI:

https://doi.org/10.47392/irjash.2023.S009

Keywords:

Machine Learning, XG Boost, Support Vector Machine(SVM)

Abstract

In order to choose which job field their interests and skills will place them in,
students must examine their capabilities and discover their interests as they
progress through their academics and pursue the courses they are most interested in. As a result, they will be able to perform better and be more motivated,
which will help them choose their ideal career and settle into it. Moreover,
subsequent to assessing possibilities in every significant region, spotters utilize
this sort of vocation Utilizing the applicant’s exhibition and different assessments, recommended frameworks help them in figuring out which work jobs
the up-and- comer ought to be held in. This article for the most part centers
around processing vocation field expectations.

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Published

2023-05-01

Issue

Vol. 5 No. 05 (2023): IRJASH Vol.05 (Special Issue 5S) Issue 5S-[MAY 2023]

Section

Research Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.