International Journal of Science, Engineering and TechnologyAuthors: Riya Singh, Ankur Kumar Singh, Sandeep Chaurasiya, Vikas
Abstract: The problem of preparing for interviews has been a consistent problem for those students and job seekers who have no option to practice in a personalized setting. This paper discusses the development of InterviewSaarthi, an artificial intelligence-based mock interview preparation system for a variety of professional areas such as Web Development, Data Science, Data Analytics, Artificial Intelligence/Machine Learning, Cyber Security, and Software Engineering. The application allows users to select different levels of complexity (Easy, Moderate, and Hard), respond to interview questions using either text or their voice, and receive feedback based on various parameters of the answer's quality. These parameters include content, relevance, organization, grammar, confidence, and clarity. The application is created using Python Flask server and an easy-to-use HTML/CSS/JavaScript interface, as well as the API from large language models (LLMs). An experiment conducted on 30 undergraduates showed a significant increase in interview preparation skills.
DOI: https://doi.org/10.5281/zenodo.20012756
