Kanala, Raghupathi and Raghavan, Meghana Vijaya and Kumar, Gundala Jathin and Bommagoni, Sushruth and Onteddu, Arun Kumar (2025) Context aware intelligence resume analyser using deep learning algorithms. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 738-746. ISSN 2582-8266
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.2.0588 |
Uncontrolled Keywords: | Natural Language Processing; Deep Learning; Large Language Models; Skill Gap Analysis; Neural Network |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:25 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3573 |