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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Resume Parsing And Job Recommendation Using Natural Language Processing |
| Authors Name: | Suryawanshi Snehal , Mali Prajwal , Rasal Sarthak |
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| Author Reg. ID: |
IJRTI_207281
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| Published Paper Id: | IJRTI2511041 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | The increasing volume of online job applications makes it challenging for recruiters to manually analyze and shortlist suitable candidates. This paper introduces “Resume Parsing and Job Recommendation System,” an AI-powered platform designed to automatically extract, analyze, and match candidate profiles with relevant job openings. Using Natural Language Processing (NLP) and Machine Learning (ML), the system performs intelligent resume parsing to extract essential details such as skills, education, and experience, and then recommends the most suitable jobs based on profile-job similarity. Implemented using Python, Flask, Scikit-learn, and Streamlit, this system aims to simplify the recruitment process and provide faster, data-driven hiring decisions. |
| Keywords: | Resume Parsing; Job Recommendation; Natural Language Processing (NLP); Machine Learning; Text Extraction; Feature Extraction |
| Cite Article: | "Resume Parsing And Job Recommendation Using Natural Language Processing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a313-a314, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511041.pdf |
| Downloads: | 000248 |
| 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: IJRTI2511041
Registration ID:207281
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a313-a314 Country: Pune, Maharashtra , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511041 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511041 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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