AI Mock Interview Chatbot Using Gen AI

Authors- Mr.Madanachitran R, Austin A, Balaji K, Rajappan M

Abstract-Job interviews are a critical component of the hiring process, but several interviewees struggle to articulate their skills. In this paper, we propose developing a Generative AI-based mock interview chatbot that offers real-time, interactive, and adaptive interview practice. Unlike traditional mock interview methods that are costly and non-scalable, this chatbot leverages Gemini AI, React, and Next.js API to generate industry-domain interview questions programmatically and deliver instant feedback. The platform relies on Neon PostgreSQL for database and Clerk for role-based authorization to offer users an enriched experience. The chatbot dynamically adjusts question complexity levels to the user skill level (beginner, intermediate, expert) and offers technical, behavioral, and situational answer insights. By integrating AI-based feedback processes and performance metrics, the platform encourages user activity, self-esteem, and actual interview readiness. In comparison with other available techniques like pre-recorded video questionnaires and template-based chatbots, the proposed system offers end-to-end data-driven interactive mock interviewing. Deployed on Vercel for hassle-free scalability, this AI-based career solution aims to bridge skill gaps, improve candidate performance, and maximize job market fit.

DOI: /10.61463/ijset.vol.13.issue2.189