AI-Driven Interview Coach: A Smart Assistant for Personalized Interview Preparation

This paper describes an intelligent interview assessment system based on AI and natural language processing for real-time performance assessment. The platform integrates sentiment analyses, speech recognition, and rule-based expert evaluation to make the assessments comprehensive and objective. It assesses the performance of the candidate on five key dimensions: technical depth, communication ability, clarity, confidence, and relevance. The domain-specific modules are designed to cover topics related to data structures, databases, and core fundamentals in computer science. The system offers several modes of practice: HR and technical and rolesimulation interviews, including options to choose live or audio-upload-based analysis. Built with React.js and browser-based APIs, this system provides immediate feedback in less than two seconds with an over 85% correlation rate with human evaluators. Experimental results are included demonstrating that the proposed system improves interview preparation efficiency and develops the skills of computer science students.