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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: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19446
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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Published Paper Details
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| Paper Title: | Web-Based Resume Analyzer |
| Authors Name: | Kunal Sanjay Dahatre , Aditya S. Chiparikar , Nivedita R. Dahat , Samrudhi S. Chougule , Prof.Vishwesh Deshmukh |
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| Author Reg. ID: |
IJRTI_205515
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| Published Paper Id: | IJRTI2508005 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | |
| Abstract: | Abstract — The Resume Analyzer is a web-based application designed to aid recruiters and HR professionals in the efficiently screening and assessment of resumes. The system mechanizes the preliminary shortlisting function by extracting the relevant information including the candidate name, contact information, educational background, skills, work history, and certifications from uploaded resumes. It matches the extracted data against the predefined job requirements through keyword matching and rule-based filtration. The Analyzer then calculates a relevance score to assist in shortlisting candidates based on the extent to which their profiles are a match for the desired criteria. The system can handle several formats of resumes, which facilitates flexibility and wider use. Through the removal of manual scanning of resumes, it decreases human effort, saves time, and promotes consistency in assessment. The project seeks to simplify the recruitment process, particularly for organizations processing large number of applications. In contrast to conventional manual shortlisting, this tool facilitates quicker, more precise, and objective filtering independent of complicated machine learning models. The method keeps the Resume Analyzer easy to deploy, convenient to use, and efficient for small to mid-size hiring requirements. |
| Keywords: | Keywords — Keyword Matching, Natural Language Processing (NLP), Relevance Score, Resume Screening, Web Application |
| Cite Article: | "Web-Based Resume Analyzer", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a29-a32, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508005.pdf |
| Downloads: | 000825 |
| ISSN: |
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: IJRTI2508005
Registration ID:205515
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: a29-a32 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508005 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508005 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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