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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Context aware intelligence resume analyser using deep learning algorithms

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Raghupathi Kanala, Meghana Vijaya Raghavan, Gundala Jathin Kumar *, Sushruth Bommagoni and Arun Kumar Onteddu

Department of CSE (Data Science), ACE Engineering College, Hyderabad, Telangana, India.

Research Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 738-746

Article DOI: 10.30574/wjaets.2025.15.2.0588

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0588

Received on 26 March 2025; revised on 02 May 2025; accepted on 04 May 2025

This research introduces an AI-powered resume analyzer that makes it easier for people to evaluate and polish their resumes. Using cutting-edge Natural Language Processing (NLP), deep learning, and powerful Large Language Models (LLMs), the system quickly pulls out key details—like skills, education, work experience, and projects—from resumes in formats like PDF or DOCX. Unlike older resume tools, this one is faster and smarter, offering unique features like a Skill Gap Analysis to see how well your qualifications match a job’s needs. It also includes a neural network that ranks your resume’s strength and a helpful AI assistant that gives tailored tips to make your resume stand out. Together, these tools simplify the process and help job seekers showcase their best selves with confidence.

Natural Language Processing; Deep Learning; Large Language Models; Skill Gap Analysis; Neural Network

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0588.pdf

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Raghupathi Kanala, Meghana Vijaya Raghavan, Gundala Jathin Kumar, Sushruth Bommagoni and Arun Kumar Onteddu. Context aware intelligence resume analyser using deep learning algorithms. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 738-746. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0588.

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