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Insightify: An AI Based Mock Interview Platform

Beegum Aliya Arif, Chinju Biju, Mariya Michael, Sona Jaison, Anu V Kottath

Abstract


In the fast-evolving landscape of technology and competitive job markets, Artificial Intelligence (AI) is transform- ing the way candidates prepare for interviews. AI-driven mock interview systems leverage advanced technologies such as Natural Language Processing (NLP), speech recognition, and text-to- speech capabilities to create realistic interview simulations. These intelligent platforms provide an interactive and adaptable prac- tice environment, enabling job seekers to refine their responses effectively.

A major advantage of AI-based mock interviews is their ability to assess both verbal and non-verbal aspects of communication. By analyzing speech patterns, tone, clarity, fluency, and confi- dence levels, these systems offer detailed, real-time feedback that helps candidates improve their communication skills. Further- more, AI models can be customized to simulate different job roles, industries, and difficulty levels, making interview practice more personalized and relevant.

This paper explores the core technologies behind AI-powered mock interviews, highlighting their advantages over traditional preparation methods. Additionally, we discuss challenges such as ethical considerations, data privacy, and the need for continuous algorithm updates to ensure fairness and accuracy. Through case studies and data-driven insights, we examine how AI is bridging the gap between theoretical learning and real-world application, ultimately boosting candidates’ confidence and employability.


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