Revolutionizing Interview Preparation: The Algorithmic Precision of an AI-Powered Mock Interview Platform
摘要
The development of this paper introduces a brand new AI-based mock interview widget to help candidates prepare for job interviews. Employing advanced technology like Next.js, Prisma ORM, and Gemini API, the platform provides a personalized interview experience. It automatically generates interview questions based on a user-selected role while role-based prompts are activated in real-time. This system is unique in that it can offer clients specific and exhaustive evaluation, going beyond the content of the produced language, examining the paralinguistic aspects of the responses as well. The intelligent question generation coupled with extensive performance benchmarking puts this platform into a league way ahead of conventional interview preparation techniques. This work also examines the system structure, algorithm complexity, and feedback system that sets this to be the future of interview training tools.