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AI-Based Resume Analyzer and Interview Simulator

Mayank Chauhan, Mithun M, Rithanish M J, Pravesh P, Naveen S, Raja L

Abstract


The modern recruitment landscape faces persistent challenges in matching qualified candidates with appropriate job roles. This research introduces an intelligent Resume Analyzer and Interview Simulator that leverages artificial intelligence to bridge the gap between candidate preparation and employer expectations. The system employs natural language processing for resume parsing, machine learning for role mapping, and adaptive question generation to create personalized career development pathways. Through a five- stage workflow encompassing resume upload, role selection, AI-generated interview simulation, real-time feedback, and personalized improvement planning, the platform addresses critical inefficiencies in traditional career preparation methods. Initial testing demonstrates significant improvements in candidate readiness and skill gap identification. The system's ability to provide instant, actionable feedback represents a meaningful advancement in democratizing access to quality career coaching and interview preparation.

 


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References


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