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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 9 | September 2026

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Published in:

Volume 13 Issue 9
September-2026
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2609317


Registration ID:
586380

Page Number

d159-d167

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Title

An AI-Based Intelligent Job Search and Recommendation Platform

Abstract

Abstract: The increasing number of online job portals has made it challenging for job seekers to find suitable opportunities and manage the job application process efficiently. Searching across multiple platforms, preparing resumes, and tracking application progress often require significant time and effort. This project presents an AI-Powered Job Search Platform that simplifies the job search experience by integrating intelligent job search, resume analysis, job recommendations, and application tracking into a single platform. The system enables users to search for relevant job opportunities based on their skills, qualifications, and experience. Users can upload their resumes to receive an ATS score along with suggestions for improving resume quality and enhancing their chances of selection. Based on the user's profile, the platform recommends suitable job opportunities that closely match their skills and career interests. It also includes a job tracking feature that allows users to monitor the status of their applications, making it easier to organize the recruitment process. In addition, an AI-powered chatbot assists users by answering queries related to jobs, resumes, and application details, providing a more interactive and user-friendly experience. The application is developed using Java, Spring Boot, Angular, REST APIs, Redis, and Artificial Intelligence technologies. The proposed system offers a simple, efficient, and intelligent solution that helps job seekers improve their resumes, discover relevant job opportunities, and manage their applications effectively through a single platform.

Key Words

Artificial Intelligence, Job Search Platform, Resume Analysis, ATS, Job Recommendation, AI Chatbot, Spring Boot, Angular.

Cite This Article

" An AI-Based Intelligent Job Search and Recommendation Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 9, page no.d159-d167, September-2026, Available :http://www.jetir.org/papers/JETIR2609317.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

" An AI-Based Intelligent Job Search and Recommendation Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 9, page no. ppd159-d167, September-2026, Available at : http://www.jetir.org/papers/JETIR2609317.pdf

Publication Details

Published Paper ID: JETIR2609317
Registration ID: 586380
Published In: Volume 13 | Issue 9 | Year September-2026
DOI (Digital Object Identifier):
Page No: d159-d167
Country: vizag, Andhra Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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