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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: January 2026
Volume 11 | Issue 1
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 116
Article Submitted : 20684
Article Published : 8330
Total Authors : 21940
Total Reviewer : 790
Total Countries : 154
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| Paper Title: | AI-Powered Resume Ranking System: Enhancing Recruitment Efficiency through Natural Language Processing |
| Authors Name: | Neha Aidasani , Prapti Adep , Vinit Darade , Sarthak Chavan , Dr. Shagufta Md. S. Sheikh |
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IJRTI_203794
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| Published Paper Id: | IJRTI2505141 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | The rapid growth in job application volumes poses significant challenges for organizations in efficiently screening candidates. This paper presents the AI-Powered Resume Ranking System (ARRS), which leverages Natural Language Processing (NLP) and machine learning to automate resume analysis and ranking based on job-specific criteria such as skills, experience, qualifications, and keyword relevance. ARRS reduces human bias and manual effort, ensuring fairer evaluations aligned with the United Nations Sustainable Development Goal (SDG) 8. The paper reviews methodologies, evaluation metrics, and advancements in NLP-driven resume processing, addressing challenges like algorithmic bias, data diversity, and customizable ranking rules. Future directions include integrating transformer models and bias mitigation techniques to enhance fairness and accuracy. |
| Keywords: | Named Entity Recognition (NER), Part-of-Speech Tagging (POS), Text Classification, Supervised Learning, Bias Mitigation |
| Cite Article: | " AI-Powered Resume Ranking System: Enhancing Recruitment Efficiency through Natural Language Processing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b367-b371, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505141.pdf |
| Downloads: | 000431 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505141
Registration ID:203794
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b367-b371 Country: Pune, Maharashtra , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505141 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505141 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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