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International Journal of Science, Strategic Management and Technology

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AI-POWERED RESUME SCREENING AND RANKING SYSTEM

AUTHORS:
Jerin Samuvel
Mentor
R. Vijay Anand
Affiliation
Professor Department Of Computer Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India
DOI: 10.55041/ijsmt.v2i3.337
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Organizations often experience an influx of resumes when hiring for a given position. Reviewing hundreds or thousands of resumes to shortlist candidates is a labor-intensive and often tedious process for recruiters. Manual review can also slow down the hiring process and open up opportunities to introduce bias into the selection process. To help resolve these issues, this research presents an AI-Powered Resume Screening and Ranking System designed to streamline and make the recruitment process more efficient.

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 05 2026
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Samuvel, J. (2026). AI-Powered Resume Screening and Ranking System. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i3.337

Samuvel, Jerin. "AI-Powered Resume Screening and Ranking System." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.337.

Samuvel, Jerin. "AI-Powered Resume Screening and Ranking System." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.337.

References
1.Malinowski, J. Keim, O. Wendt, and T. Weitzel, “Matching people and jobs: A bilateral recommendation approach,” Proc. Hawaii Int. Conf. System Sciences, 2006.

2.Paparrizos, B. Cambazoglu, and A. Gionis, “Machine learned job recommendation,” Proc. ACM Conf. Recommender Systems, 2011.

3.G. Thomas and M. R. Prabhakar, “Automated resume classification using machine learning techniques,” International Journal of Computer Applications, vol. 178, no. 7, 2019.

4.Mishra and D. Singh, “Resume screening using natural language processing and machine learning,” International Journal of Advanced Computer Science and Applications, vol. 11, no. 4, 2020.

5.Li, J. Zhao, and Y. Zhang, “Deep learning based job-resume matching system,” IEEE Access, vol. 8, 2020.

6.R. Rao and P. V. Reddy, “An intelligent recruitment system using artificial intelligence and text mining,” International Journal of Engineering Research & Technology, 2020.

7.J. Kaur and P. Kaur, “AI-based recruitment system for resume filtering and candidate ranking,” Proc. Int. Conf. Artificial Intelligence and Data Engineering, 2021.

8.B. Al-Otaibi and M. Al-Shammari, “Automated resume screening system using natural language processing,” Journal of Information Technology and Software Engineering, 2021.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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