Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The Smart ATS Resume Builder is an intelligent system designed to automate and enhance the resume creation and evaluation process using Natural Language Processing (NLP) techniques. Built with SpaCy and Cosine Similarity Ranking, the system analyzes and compares resumes against job descriptions to determine their relevance and optimize content for Applicant Tracking Systems (ATS). By leveraging machine learning and text similarity algorithms, it provides users with structured, keyword-optimized resumes that improve shortlisting chances. This project bridges the gap between candidates and recruiters by ensuring efficiency, accuracy, and fairness in the recruitment process.
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Cite Article:
"Smart ATS Resume Builder using SpaCy and Cosine Similarity Ranking", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 10, page no.b370-b375, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510146.pdf
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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