UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 11
November-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2511182


Registration ID:
571394

Page Number

b660-b664

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Title

AI-Powered Career assistance system using intelligent feedback & ATS optimization

Abstract

JobNexus-AI is an intelligent AI-driven career platform that automates resume creation, analysis, job matching, and interview preparation . It employs frameworks like FastAPI, React, and OpenAI APIs for efficient processing and ATS-optimized resume generation. The system compares candidate skills with job requirements through embeddings, delivers AI-based feedback, and securely manages data with structured databases and vector stores. Overall, it enhances employability by minimizing manual effort and providing personalized, data-driven job-readiness solutions.

Key Words

Artificial Intelligence (AI); Resume Analysis; Job Matching; Interview Coaching; Machine Learning; Career Assistance System.

Cite This Article

"AI-Powered Career assistance system using intelligent feedback & ATS optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.b660-b664, November-2025, Available :http://www.jetir.org/papers/JETIR2511182.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI-Powered Career assistance system using intelligent feedback & ATS optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppb660-b664, November-2025, Available at : http://www.jetir.org/papers/JETIR2511182.pdf

Publication Details

Published Paper ID: JETIR2511182
Registration ID: 571394
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: b660-b664
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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