AI Mock Interviewer: Preparing You Towards Smarter Interview Practice

Abstract

In today's fiercely competitive job market, interview performance plays a pivotal role in securing employment. However, candidates often face the challenge of limited access to personalized and realistic interview practice opportunities, hindering their confidence-building efforts. To address this gap, we propose an AI-powered mock interviewer web application that creates an interview environment for candidates and elevates their interview preparation. The web app extracts vital information from user-uploaded resumes using Google's Palm model and Textract, crafting interview questions customized to the user's role and skills. It offers HR and Technical interview rounds. The HR segment assesses soft skills, while the Technical round presents role-specific technical questions, resulting in comprehensive performance reports and personalized feedback for targeted preparation. Notably, the web app employs voice analysis to detect fillers, pauses, and repetitive language, offering practical insights for improved communication. This analysis provides practical insights into communication challenges and offers actionable feedback to improve interview articulation and bolster user confidence. Key Words: Interview Preparation, AI-Powered Mock Interview Simulation, Personalized Feedback, Confidence Building