A Comparative Review On: Mock Interviewer Powered by AI- Intelligent System for Comprehensive Interview Preparation

Abstract The increasing complexity and competitiveness of job markets have amplified the necessity for effective interview preparation tools. This research proposes the development of “Mock Interviewer Powered by AI,” an integrated, intelligent system designed to enhance job seekers’ readiness through a suite of modules: aptitude assessment, resume analysis, AI-driven live interview simulation, and detailed personalized feedback. Leveraging state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) techniques, the system evaluates communication skills, technical proficiency, and non-verbal cues, providing users with actionable insights to improve their performance. Experimental evaluation demonstrates that the system augments user performance consistency by 30%, indicating significant potential to democratize interview preparation and reduce barriers posed by limited access to professional guidance. This paper details the system architecture, methodologies, evaluation results, and discusses future directions, situating the work within the broader context of AI- driven human resource technology.