AI Hiremaster - An AI-Powered Mock Interview Platform

Abstract

This research presents AI HireMaster, an AI-powered mock interview platform designed to enhance candidate preparedness through natural, real-time voice-based interaction. With the rapid digitalization of recruitment and the growing demand for scalable interview coaching solutions, traditional text-based or static mock interview tools are no longer sufficient. AI HireMaster addresses this gap by integrating conversational AI, speech intelligence, and automated evaluation into a unified system capable of simulating realistic interview scenarios. The platform incorporates intelligent question generation, real-time speech-to-text transcription, semantic understanding, tone and fluency analysis, and AI-driven scoring to evaluate user responses across multiple behavioral and technical dimensions. By leveraging modern development technologies—including Next.js, React, Node.js, Deepgram STT, VAPI voice AI, and cloud-based deployment—the system ensures low latency, high scalability, and seamless cross-device accessibility. This paper outlines the system architecture, AI integration pipeline, module design, development methodology, and early validation results. The ongoing work aims to create an inclusive, adaptive, and data-driven interview readiness ecosystem capable of supporting learners, job seekers, and organizations at scale.

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