Abstract The AI-Driven Mock Interview Evaluator is an intelligent and automated system designed to enhance interview preparation by analyzing both verbal and non verbal aspects of candidate performance. Traditional mock interviews often fail to provide comprehensive feedback, particularly regarding emotional expression, vocal tone, and confidence levels, which are essential for success in real interview environments. This system integrates advanced artificial intelligence techniques including facial emotion recognition, speech analysis, and natural language processing to deliver objective, data-driven, and personalized evaluations. Users can record or upload interview responses, which are then processed to assess emotional stability, communication clarity, fluency, and overall confidence. Based on this analysis, the system generates detailed performance reports along with specific recommendations for improvement. By offering realistic simulation, personalized question generation, and continuous progress tracking, the platform bridges the gap between conventional mock interviews and modern AI enabled training tools. The AI-Driven Mock Interview Evaluator increases accessibility to quality interview preparation resources and supports job seekers, educators, and hiring professionals in fostering better communication and soft skills development.
Chavhan et al. (2026) studied this question.