ISSN2320-2882
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Paper Title

AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search

Authors

Neha.J. Pal , Achala. R. Pal , Prof . Kinjal Doshi

Keywords

AI-Based Job Recommendation, Large Language Models, Resume Summarization, Skill Gap Detection, Vector Similarity Search, Explainability, Personalized Recruitment, Real-Time Recommendation, Scalable Database, Candidate Profiling, Recruitment Automation, Natural Language Understanding.

Abstract

The drawbacks of traditional job recommendation systems built upon static keyword matching have created a need for more intelligent and adaptive recruitment processes. In this paper, we introduce a novel AI job recommendation framework utilizing Large Language Models (LLMs) to summarize resumes and identify skills gaps. Our method allows the automatic identification of candidate information and dynamically determines the fit between a candidate's resume and the skills needed for a job role by analyzing the user's own skills and the job requirements. Further, we are able to provide quick and transparent recommendations with vector similarity search technology-backed databases. The well over half of respondents in our study expressed excitement about summarizing resumes and analyzing skills using AI, demonstrating the potential of this system to assist in recruitment by providing easy-to-understand, timely, and personalized recommendations, without the need for human intervention.

How To Cite

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IJCRT — journal style
"AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 10, page no.d159-d166, October 2025, Available :https://ijcrt.org/papers/IJCRT2510377.pdf
APA — 7th edition
Pal, N. J., Pal, A. R., & Doshi, K. (2025). AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search. International Journal of Creative Research Thoughts, 13(10), d159-d166. https://doi.org/10.56975/ijcrt.v13i10.295036
MLA — 9th edition
Pal, Neha.J., et al. "AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search." International Journal of Creative Research Thoughts, vol. 13, no. 10, 2025, pp. d159-d166, https://doi.org/10.56975/ijcrt.v13i10.295036.
Chicago — 17th, bibliography
Pal, Neha.J., Achala. R. Pal, and . Kinjal Doshi. "AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search." International Journal of Creative Research Thoughts 13, no. 10 (2025): d159-d166. https://doi.org/10.56975/ijcrt.v13i10.295036.
Harvard — author–date
Pal, N.J., Pal, A.R. and Doshi, K. (2025) 'AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search', International Journal of Creative Research Thoughts, 13(10), pp. d159-d166. Available at: https://doi.org/10.56975/ijcrt.v13i10.295036
IEEE — numbered reference
N. J. Pal, A. R. Pal and K. Doshi, "AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search," IJCRT, vol. 13, no. 10, pp. d159-d166, Oct. 2025, doi: 10.56975/ijcrt.v13i10.295036.
Vancouver — biomedical
Pal NJ, Pal AR, Doshi K. AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search. IJCRT. 2025 Oct;13(10):d159-d166. doi: 10.56975/ijcrt.v13i10.295036
AMA — 11th edition
Pal NJ, Pal AR, Doshi K. AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search. IJCRT. 2025;13(10):d159-d166. doi:10.56975/ijcrt.v13i10.295036
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2510377, author = {Neha.J. Pal and Achala. R. Pal and . Kinjal Doshi}, title = {AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {10}, pages = {d159-d166}, year = {2025}, month = {October}, issn = {2320-2882}, doi = {10.56975/ijcrt.v13i10.295036}, url = {https://doi.org/10.56975/ijcrt.v13i10.295036} }
RIS — EndNote, RefWorks
TY - JOUR AU - Pal, Neha.J. AU - Pal, Achala. R. AU - Doshi, . Kinjal TI - AI-Based Smart Job Recommendation System using LLM-Powered Resume Summarization and Vector Embedding Search T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 10 PY - 2025 SN - 2320-2882 DO - 10.56975/ijcrt.v13i10.295036 UR - https://doi.org/10.56975/ijcrt.v13i10.295036 SP - d159-d166 ER -

Issue

Volume 13 Issue 10, October-2025
Pages : d159-d166

Article Information

Pages
d159-d166
Published
October 2025
Registration ID
IJCRT_295036
Published Paper ID
IJCRT2510377
Research Area
Science and Technology
Author Type
Indian Author
Location
Mumbai, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
278
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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

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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