Article’s

AI-based mock interview systems integrate multiple technologies—natural language processing, speech analytics, and computer vision—to create realistic and adaptive training environments for job seekers. These systems simulate various interview types, including behavioral, situational, and technical formats, offering structured, unbiased, and repeatable practice. By analyzing verbal, vocal, and visual cues, they provide holistic feedback that enhances communication clarity, confidence, and readiness. Recent advancements in multimodal analytics and remote hiring trends have accelerated their development and adoption. This survey examines the technological foundations, data management challenges, fairness and transparency concerns, and emerging directions for personalized AI coaching. It highlights ongoing efforts to make these systems more supportive, accurate, and ethically responsible. Keywords — AI-based Mock Interviews, Natural Language Processing, Speech Analytics, Computer Vision, Human-AI Interaction, Fairness, Personalization, Interview Simulation, Multimodal Systems, Automated Feedback.