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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

AI INTELLIGENT BASED RESUME SCREENING AND RANKING SYSTEM

ARAVINDHAN R GOWSIK J AKASH RAJ B

PRADEEPA K

Department of Computer Science and Engineering, E.G.S.Pillay  Engineering College, Nagapattinam, Tamilnadu, India
DOI:https://doi.org/10.55041/ijcope.v2i6.019

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Abstract

The AI Intelligent-Based Resume Screening and Ranking System is an advanced recruitment support application designed to automate and improve the candidate selection process. Traditional resume screening is often time-consuming, labor-intensive, and prone to human bias when handling a large number of applications. This project addresses these challenges by utilizing Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to analyze, evaluate, and rank resumes based on their relevance to a given job description.

Keypoints — Artificial Intelligence, Resume Screening, Natural Language Processing, Machine Learning, Recruitment Automation

How to Cite this Paper

R, A., J, G. & B, A. R. (2026). AI Intelligent Based Resume Screening And Ranking System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.019

R, ARAVINDHAN, et al.. "AI Intelligent Based Resume Screening And Ranking System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.019.

R, ARAVINDHAN,GOWSIK J, and AKASH B. "AI Intelligent Based Resume Screening And Ranking System." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.019.

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References


  • Sabarirajan, A., et al., “Intelligent AI-Based Resume Screening and Ranking Framework for Unbiased and Scalable Recruitment Automation,” 2025.


 

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  • Shradha, A., “AI-Powered Resume Ranker System,” Journal of Scientific Research and Technology, 2025.


 

  • Devamma, P., & Murali, D., “Intelligent Resume Screening System Using AI,” International Journal of Innovative Research in Technology (IJIRT), Vol. 12, No. 4, 2025.


 

  • Mohammed Shinan, K. S., Goutham Praveen, P. P., & Varsha, C. R., “AI-Powered Resume Screening and Categorization Using Machine Learning and NLP,” IJIRT, 2025.


 

  • “AI-Powered Resume Screening System for Recruitment Automation,” Journal of Theoretical and Applied Information Technology (JATIT), 2025.


 

  • “AI-Powered Resume Screening for HR Recruitment Using NLP and Predictive Analytics,” IJCRT, 2025.


 

  • “AI-Powered Resume Screening and Role-Fit Analysis System,” International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2025.


 

  • Pal, R., Shaikh, S., Satpute, S., et al., “Resume Classification Using Various Machine Learning Algorithms,” ITM Web of Conferences, 2022.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jun 03 2026
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