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AI-Based Job Recommendation System Using Skill Extract & Matching

G. Rao

2026 · DOI: 10.22214/ijraset.2026.77976
International Journal for Research in Applied Science and Engineering Technology · 0 Citations

TLDR

This study proposes the concept of an AI-Enabled Job Portal, an all-encompassing platform that aims to close the gap between qualified individuals and available opportunities through Intelligent Matching Algorithms and Natural Language Processing (NLP).

Abstract

The conventional job search process tends to be disjointed, leaving job seekers confused by non-relevant job postings

and hiring managers drowning in the manual processing of resumes. This study proposes the concept of an AI-Enabled Job

Portal, an all-encompassing platform that aims to close the gap between qualified individuals and available opportunities

through Intelligent Matching Algorithms and Natural Language Processing (NLP). Unlike conventional job portals, this

platform includes an integrated AI-powered resume parser, job recommendation engines, and a centralized dashboard for both

job seekers and employers. Through the application of semantic intent as opposed to keyword searching, the portal guarantees

improved resume placement accuracy and a faster hiring process.