AI Based Mock Interview Evaluator

The integration of Artificial Intelligence (AI) in the recruitment process has led to the development of advanced tools aimed at enhancing interview assessment and candidate evaluation. This paper introduces an AI-driven mock interview evaluator designed to simulate real-world interview scenarios while providing comprehensive performance analysis. Utilizing machine learning algorithms and natural language processing (NLP) techniques, the system delivers real-time feedback to candidates, facilitating a more effective and insightful interview preparation experience. The proposed system supports both video and audio-based interview modes, offering flexibility to accommodate individual preferences and ensuring a seamless user experience. During the interview, real-time facial expression analysis captures emotional cues, contributing to a holistic evaluation of candidate demeanor and engagement. Upon completion, candidates receive instant feedback along with detailed performance visualizations, enabling comparative analysis across multiple interview sessions. These insights help candidates identify strengths, pinpoint areas for improvement, and track their progress over time, ultimately enhancing their readiness for real-world job interviews.