Development of an Adaptive AI-Based Interview Platform with Multimodal Cognitive and Behavioral Evaluation

Ashish Chauhan1 , Mohd Zaid2 , Aadil Ali3, Avnish Daksh4 1
HoD, 2,3,4 b.Tech Scholars
Department of Computer Science and Engineering , Shri Ram Group Of College Muzaffarnagar.

Abstract:Hiring talent today is anything but straightforward. The main roadblock: most interview methods just can’t get a solid read on both the cognitive skills and behavioral traits of candidates. In this paper, we dig into our Adaptive AI-Based Interview Platform — a tool designed to make interviews smarter by tailoring questions in real time and evaluating how people actually behave, not just what they say.What’s different with this system? It listens and adapts. The level of each question shifts based on how people answer, thanks to NLP algorithms running under the hood. It doesn’t stop at answers, either — the system looks at voice tone, how fluent someone seems, and how clear and confident they sound. A lot of attention went into building out a backend pipeline that evaluates each candidate and produces a detailed profile. Our tests showed this platform outperforms old-school interviews.Keywords: Adaptive Interviewing, AI-based Assessment, NLP, React.js, Flask, FastAPI, Behavioral Assessment, Cognitive Evaluation, Talent Acquisition, Web Platform