SKILL GAP ANALYSIS USING MACHINE LEARNING

Authors

  • Rameshbabu.V Dr.MGR Educational and Research Institute, Tamil Nadu, India.
  • Latha R SRM Institute of Science and Technology, TN, India
  • Sreenithi R MIT, Anna University

DOI:

https://doi.org/10.63458/ijerst.v3i3.122

Keywords:

Skill Gap Analysis, Machine Learning, Natural Language Processing (NLP), Resume Analysis, Skill Enhancement, Industry Requirements, Career Growth, Personalized Development Roadmap, Interview Preparation Resources.

Abstract

The “Skill Gap Analysis Using Machine Learning” project aims to bridge the gap between user skillsets and industry requirements. It examines user resumes, finds skill gaps, and gives a path for skill improvement using Natural Language Processing (NLP) and machine learning techniques. Additionally, the system suggests resources for interview preparation based on the professional domains that the user has chosen. This platform supports firms in workforce development while providing users with practical insights for career growth.

Author Biographies

Rameshbabu.V, Dr.MGR Educational and Research Institute, Tamil Nadu, India.

Department of CSE, Dr.MGR Educational and Research Institute, Tamil Nadu, India.

Latha R, SRM Institute of Science and Technology, TN, India

Department of EFL,

SRM Institute of Science and Technology, TN, India

Sreenithi R, MIT, Anna University

Dept. of Computer Technology,

MIT, Anna University, Chennai, TN, India

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Published

2025-09-25

How to Cite

Rameshbabu.V, Latha R, & Sreenithi R. (2025). SKILL GAP ANALYSIS USING MACHINE LEARNING. International Journal of Engineering Research and Sustainable Technologies (IJERST), 3(3), 33–39. https://doi.org/10.63458/ijerst.v3i3.122

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