Advancements in AI-Enabled Mock Interview Platforms: A Review of Interviewello's Web Application

Abstract

This literature review explores the advancements in artificial intelligence (AI) technologies applied to mock interview platforms, with a specific focus on Interviewello, an innovative web application designed to simulate real-world interview experiences. As AI continues to revolutionize various sectors, its integration into interview preparation has gained considerable attention. Interviewello leverages AI to provide personalized feedback, adaptive questioning, and real-time analysis, aiming to improve user performance and confidence in job interviews. The paper reviews the technological underpinnings of AI used in Interviewello, including natural language processing (NLP), machine learning algorithms, and data-driven insights. Furthermore, it evaluates the platform’s effectiveness in enhancing interview preparation compared to traditional methods. Through a comprehensive examination of the literature, this paper highlights key challenges, emerging trends, and the potential impact of AI-powered mock interviews on future recruitment practices. The review also discusses the ethical considerations, limitations, and opportunities for future improvements in AI-driven interview technologies.