A Comprehensive Study and Implementation of the Mock Interview Simulator with AI and Pose-Based Interaction

Abstract

The contemporary job market is increasingly competitive, placing a premium on a combination of technical prowess and essential soft skills. The ability to navigate job interviews effectively has emerged as a decisive factor in securing coveted positions. Recognizing this imperative, our contribution to the field is a pioneering solution - the Mock Interview Simulator. This simulator stands as a transformative tool in the landscape of job preparation, offering users an unprecedented advantage. In the current job market milieu, the Mock Interview Simulator redefines conventional preparation methods, providing a revolutionary approach for job seekers. This innovative platform leverages state-of-the-art technologies to empower users to tailor their interview experiences. The simulator introduces AI-driven interviewers, delivering a personalized and dynamic environment. This not only prepares candidates for a diverse range of interview scenarios but also imparts valuable insights into their performance. This paper delves into the intricate design and functionality of our Mock Interview Simulator, elucidating how cutting-edge technologies converge to create a realistic and highly beneficial interview preparation experience. By amalgamating speech recognition, text-to-speech synthesis, and the OpenAI GPT-3.5 Turbo API, the simulator crafts a lifelike interview setting. Additionally, posture detection using the Mediapipe framework adds a physical dimension, ensuring candidates not only articulate their responses effectively but also present themselves professionally.

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