Prep AI - Customized Mock Interview Platform Using Gen AI

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Authors: K. Divya Bhavani, G. H. S. V. K. Prasad, V. G. S. Sai Krishna, M. S. Koti Reddy, K. Shanmukh Vardhan, Md. Sadik
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Abstract

In the modern competitive labor market, preparedness during interviews has become critical towards gaining employment. The current paper introduces a project Prep AI. A Customized Mock Interview Platform Using Generative AI, an intelligent web-based application that strives to provide students and job applicants with the simulated experience of a personal interview. According to the system, resume-based and role-based mock interview modes are combined to answer dynamic questions with large language models (LLM) likeLLaMA3 through Groq API. Communication is conducted in real time by the voice reaction, which is recorded with the help of WebRTC and analyzed with speech recognition and facial recognition. The platform is created using Flask and React TypeScript and has been integrated with NLP, computer vision, and emotion recognition to evaluate communication skills, grammar, and confidence. The paper shows how AI-based scoring and feedback has the potential to enhance the performance of the user and resolve the discrepancy between training and a real-life interview.

Fields of Study & Subjects

AI and HR Technologies Artificial Intelligence in Education Artificial Intelligence Applications

Publication details

Journal / source
International Journal of Innovative Science and Research Technology (IJISRT)
Pages
1981–1981
Publication date
27 January 2026