AI Mock Interview: An Intelligent Voice-Driven Interview Simulation System using Gemini AI and Whisper

Le résumé fourni par la source

This paper presents the design and implementation of an AI Mock Interview system, an advanced voice-interactive web application developed using Streamlit. The system integrates Google Gemini for intelligent, resume-aware question generation and real-time performance evaluation, and OpenAI Whisper for speech-to-text transcription, enabling a fully conversational interview experience. Upon uploading a resume in PDF format and selecting a technical domain, the candidate engages in a dynamic interview session where spoken responses are transcribed, analyzed, and followed up intelligently. Post-session, a comprehensive performance report covering technical depth, communication skills, problem-solving ability, and domain suitability is auto-generated as a downloadable PDF using ReportLab. The system targets students, job seekers, and professionals seeking personalized, on-demand technical interview preparation. Experimental evaluation demonstrates the system's ability to generate contextually relevant questions, provide meaningful feedback, and simulate a realistic interview environment superior to existing platforms.

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