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

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/46tachxw

Scribd : https://tinyurl.com/336v25s5

DOI : https://doi.org/10.38124/ijisrt/26jan835

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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.

Keywords : AI Mock Interview, Generative AI, Natural Language Processing, Flask, LLaMA, WebRTC.

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