AI-Powered Career Recommendation and Skill Gap Analysis Platform

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Authors: R Vasanthi, B Ishwariya, R Arthi
Cited by: 0

Abstract

This paper proposes an AI-Powered Career Recommendation and Skill Gap Analysis Platform that helps users choose suitable career paths based on their skills, interests, personality, and educational background. The system uses Natural Language Processing for resume parsing and fuzzy matching techniques for skill comparison. It identifies skill gaps and recommends learning resources to improve employability. The platform is implemented using Python and Streamlit to provide an interactive web interface. The proposed system helps students and professionals make data-driven career decisions and align their skills with industry demands.

Fields of Study & Subjects

AI and HR Technologies Recommender Systems and Techniques Edcuational Technology Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
AIG