AI Resume Analyzer: A Review and Case Study of an NLP-Driven Recruitment System
Year: 2025
Type: article
Abstract: The growing demand for efficiency in recruitment has accelerated the adoption of AI-powered resume screening systems. This paper reviews the evolution of resume analysis approaches, from keyword-based filters to large language models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines. A critical analysis compares accuracy, scalability, fairness, and regulatory compliance across methods. Ethical concerns, includ- ing bias and privacy, are discussed alongside recent regulations such as the EU AI Act and GDPR. To complement the review, we present a case study of an AI Resume Analyzer system, followed by experimental validation. The paper concludes with limitations and future research directions for trustworthy, scalable, and fairness-aware recruitment systems.
Authors: Sunny Ramchandani, Preksha Jain, Ameya Shivhare, Maddu Akhil, Shashank Pandey
Institution: Parul University
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7086945241
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