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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

An artificial intelligence resume analysis and career position prognosis system

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  • An artificial intelligence resume analysis and career position prognosis system

M Lakshya Sri *, M Gayatri, P Suresh, A Sudheer Kumar and G S N Murthy

Department of Computer Science and Engineering, Aditya College of Engineering & Technology, Surampalem, Kakinada

533437, Andhra Pradesh, India.

Research Article

International Journal of Science and Research Archive, 2026, 18(03), 661-670

Article DOI: 10.30574/ijsra.2026.18.3.0491

DOI url: https://doi.org/10.30574/ijsra.2026.18.3.0491

Received on 29 January 2026; revised on 09 March 2026; accepted on 10 March 2026

The high pace of digitalization of the recruitment sites has greatly multiplied the number of resumes received by the organizations, which poses difficulty in screening manually, fair assessment, and effective role-matching. The traditional Applicant Tracking Systems (ATS) mainly depend on the filtering mechanism that is based on keywords and in many cases, it does not provide the context of the skills and experiences of the candidate. To overcome these shortcomings, the given paper introduces an AI-Based Resume Analysis and Career Role Predictor, relying on Natural Language Processing (NLP), Machine Learning (ML), and transformer-based deep learning algorithms to automatize the process of resume interpretation and predicting the career role. The proposed system can identify and extract structured information about an individual in terms of technical skills, academic qualifications, certification, projects, and experience using the unstructured resume data and predicts the best career field or job position with high accuracy. Moreover, the system conducts skill gap analysis and gives individual career advice, so that students and job seekers can enhance their employability. Predictive outputs of scales and real-time dashboards improve the transparency and ease of use by the candidates and recruiters. As shown by experimental assessment, the system has a high level of prediction, rapid response speed, and scalability, which makes it an effective solution to AI-based recruitment and career advice.

Artificial Intelligence; Resume Parsing; Natural Language Processing; Machine Learning; Career Prediction; Recruitment Automation

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-0491.pdf

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M Lakshya Sri, M Gayatri, P Suresh, A Sudheer Kumar and G S N Murthy. An artificial intelligence resume analysis and career position prognosis system. International Journal of Science and Research Archive, 2026, 18(03), 661-670. Article DOI: https://doi.org/10.30574/ijsra.2026.18.3.0491.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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