Review of Skillspeak : An AI Powered Mock Interview Preperation

Abstract

Abstract— This survey examines AI-powered mock interview platforms developed to help students and job seekers improve their interview skills through practical and interactive practice. These systems simulate real interview scenarios, enabling users to rehearse answers, build confidence, and become familiar with the interview process before attending actual interviews. By providing a realistic practice environment, such platforms help users convert academic knowledge into clear and effective communication. The surveyed approaches focus on generating role- specific interview questions by analyzing user-provided CVs and job descriptions, ensuring personalized and relevant practice. User responses are captured using speech recognition and analyzed through Natural Lan- guage Processing and Machine Learning techniques to evaluate grammar, clarity, relevance, and confidence. Instant feedback, along with progress tracking across multiple sessions, helps users identify weak areas and continuously improve their performance. Overall, AI- based mock interview systems contribute significantly to interview readiness, employability, and career develop- ment. Index Terms— AI-Based Mock Interviews, Speech Recognition, Natural Language Processing, Machine Learning, Personalized Interview Practice, Performance Feedback, Employability Enhancement

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