Next-Gen AI Resume Analysers Transforming Freshers' Entry into the Workforce

Artificial Intelligence (AI)–based resume analyzers are transforming the recruitment landscape by offering automated, unbiased, and highly accurate screening mechanisms. Freshers entering the job market often struggle with resume structuring, skill representation, and keyword alignment, making manual shortlisting difficult and time-consuming for recruiters. AI-powered resume analyzers leverage technologies like Natural Language Processing (NLP), Machine Learning (ML), Optical Character Recognition (OCR), and transformer-based semantic models to interpret, evaluate, and rank candidate resumes. This survey examines the working of AI resume analyzers, their core technologies, advantages, challenges, and research trends. The study incorporates multiple tables, graphs, and diagrams, ensuring thorough academic structure, with 15+ fully cited references.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-08
DOI
https://doi.org/10.5281/zenodo.18182047
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Next-Gen AI Resume Analysers Transforming Freshers' Entry into the Workforce

H.S. Yogananda, Madesh Kumar M., H. Abhishek, Naman P et al.
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

Next-Gen AI Resume Analysers Transforming Freshers' Entry into the Workforce

H.S. Yogananda, Madesh Kumar M., H. Abhishek, Naman P, Venktesh H R
article en

Abstract

Artificial Intelligence (AI)–based resume analyzers are transforming the recruitment landscape by offering automated, unbiased, and highly accurate screening mechanisms. Freshers entering the job market often struggle with resume structuring, skill representation, and keyword alignment, making manual shortlisting difficult and time-consuming for recruiters. AI-powered resume analyzers leverage technologies like Natural Language Processing (NLP), Machine Learning (ML), Optical Character Recognition (OCR), and transformer-based semantic models to interpret, evaluate, and rank candidate resumes. This survey examines the working of AI resume analyzers, their core technologies, advantages, challenges, and research trends. The study incorporates multiple tables, graphs, and diagrams, ensuring thorough academic structure, with 15+ fully cited references.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 93%
AI in Service Interactions
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