What question did this study set out to answer?

This research aims to enhance resume evaluation by using AI and NLP techniques for better candidate assessment.

May 17, 2026Open Access

A Smart AI Resume Analyzer: An Intelligent Career Partner Using NLP-Based Resume Analysis

Key Points

This research aims to enhance resume evaluation by using AI and NLP techniques for better candidate assessment.
Developed an AI resume analysis system using RoBERTa transformer models for contextual comparison of resumes and job descriptions.
Integrated Named Entity Recognition for skill gap analysis and actionable recommendations.
Conducted experimental evaluations comparing semantic similarity with traditional keyword filtering methods.
Semantic similarity evaluation significantly outperforms traditional keyword matching in accuracy and relevance.
Identified missing skills in candidate resumes through Named Entity Recognition, providing targeted improvement suggestions.
Achieved higher ATS compatibility and user satisfaction in candidate assessments compared to conventional systems.

Abstract

This research paper presents an AI-powered resume analysis system that improves traditional Applicant Tracking System (ATS) screening using Natural Language Processing (NLP) and semantic similarity techniques. The proposed system utilizes RoBERTa transformer models to evaluate contextual similarity between resumes and job descriptions instead of relying solely on keyword matching. The framework also integrates Named Entity Recognition (NER)-based skill gap analysis to identify missing competencies and provide actionable recommendations for candidates. The system supports secure PDF resume processing, ATS-compatible scoring, and interpretable insights through a user-friendly interface. Experimental observations demonstrate that semantic similarity-based evaluation provides more accurate and context-aware candidate assessment compared to conventional keyword filtering methods. Keywords: Resume Analysis, NLP, RoBERTa, Semantic Similarity, Applicant Tracking System, Skill Gap Analysis, Artificial Intelligence.

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Cite This Study

Shaikh et al. (Sun,) studied this question.

synapsesocial.com/papers/6a095c037880e6d24efe1e80 https://doi.org/https://doi.org/10.5281/zenodo.20204662

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