AI – Powered Mock Interview Application

Abstract - The rise of the competitive environment during the recruitment process has resulted in an increased need for efficient, accessible, and personalized tools for interview preparation. The traditional method of conducting mock interviews has been found to have various difficulties, such as limited access, inconsistent feedback, and reliance on human mentors. Therefore, the emergence of Artificial Intelligence (AI), Natural Language Processing (NLP), and Large Language Models (LLMs) has resulted in the creation of AI-based mock interview systems as an efficient alternative to traditional tools that can provide realistic interview simulation with immediate feedback to enhance communication skills. This literature review seeks to explore the existing AI-based mock interview systems, their technologies, advantages, and disadvantages. This review of the literature revealed various limitations of the existing systems that need to be improved. Therefore, to improve the existing AI-based mock interview systems, the proposed AI-based mock interview application, developed using Next.js, seeks to provide an efficient, accessible, and user-friendly interface with the integration of modern web technologies. Key Words: Node.js, Next.js, Automated Evaluation, Interview Preparation, Real-Time Feedback, Web-based learning system.