ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
AI Resume Parser and Job Recommendation System
Authors
Amrita Sinha , Deepak Kumar Thakur L , Chandana C K , Sanjana S
Keywords
Resume Parsing, Job Recommendation, Natural Language Processing, Machine Learning, Flask Application, Tf-Idf vectorizer, Automation, Job matching, Web scrapping.
Abstract
The growing number of job listings and the wider range of skill requirements have made it difficult for job seekers to find opportunities that match their qualifications. This project introduces an AI-driven Job Recommendation System aimed at simplifying the process of connecting candidates with suitable jobs. The system uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to effectively analyze resumes and job descriptions.
Resumes are processed with PyResparser, which extracts key details such as skills, experience, and education. At the same time, job data are prepared and transformed using the TF-IDF (Term Frequency-Inverse Document Frequency) method, allowing the system to assess how similar candidate profiles are to job requirements. The Nearest Neighbors algorithm is then used to find the most relevant job suggestions.
A Flask-based web interface enables users to upload their resumes and receive personalized job recommendations in real time. The system also includes automated data scraping to keep the job database current, ensuring that recommendations are relevant and accurate. This approach removes the need for manual browsing through many job portals and offers a more efficient, user-friendly solution. Experimental results show that the system greatly improves the speed and accuracy of job matching, making it a useful tool for job seekers and recruitment platforms alike.
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IJCRT — journal style
"AI Resume Parser and Job Recommendation System", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.f332-f339, November 2025, Available :https://ijcrt.org/papers/IJCRT2511624.pdf
APA — 7th edition
Sinha, A., L, D. K. T., K, C. C., & S, S. (2025). AI Resume Parser and Job Recommendation System. International Journal of Creative Research Thoughts, 13(11), f332-f339. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624
MLA — 9th edition
Sinha, Amrita, et al. "AI Resume Parser and Job Recommendation System." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. f332-f339, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624.
Chicago — 17th, bibliography
Sinha, Amrita, et al. "AI Resume Parser and Job Recommendation System." International Journal of Creative Research Thoughts 13, no. 11 (2025): f332-f339. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624.
Harvard — author–date
Sinha, A. et al. (2025) 'AI Resume Parser and Job Recommendation System', International Journal of Creative Research Thoughts, 13(11), pp. f332-f339. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624
IEEE — numbered reference
A. Sinha, D. K. T. L, C. C. K and S. S, "AI Resume Parser and Job Recommendation System," IJCRT, vol. 13, no. 11, pp. f332-f339, Nov. 2025.
Vancouver — biomedical
Sinha A, L DKT, K CC, S S. AI Resume Parser and Job Recommendation System. IJCRT. 2025 Nov;13(11):f332-f339.
AMA — 11th edition
Sinha A, L DKT, K CC, S S. AI Resume Parser and Job Recommendation System. IJCRT. 2025;13(11):f332-f339. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511624,
author = {Amrita Sinha and Deepak Kumar Thakur L and Chandana C K and Sanjana S},
title = {AI Resume Parser and Job Recommendation System},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {11},
pages = {f332-f339},
year = {2025},
month = {November},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Sinha, Amrita
AU - L, Deepak Kumar Thakur
AU - K, Chandana C
AU - S, Sanjana
TI - AI Resume Parser and Job Recommendation System
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 11
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624
SP - f332-f339
ER -
Issue
Volume 13 Issue 11,
November-2025
Pages : f332-f339
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 11, November 2025
- Pages
- f332-f339
- Published
- November 2025
- Registration ID
- IJCRT_296986
- Published Paper ID
- IJCRT2511624
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Bangalore, Karnataka, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 283
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511624
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2511624.pdf
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International Journal of Creative Research Thoughts
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No external funding was received for this study.
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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