Virtual AI-Driven Interview Preparation Assistant

Abstract

Many People think that job interviews are often difficult because they need knowledge in both technical and effective communication skills. Whereas the conventional interview coaching depends on the human input, development in artificial intelligence (AI) have made it possible for the automated systems to offer the individualized coaching and real-time behavioural analysis. This project presents a virtual job interview training system based on the Generative Adversarial Networks (GANs), which provides users with AI-driven feedback to improve their interview performance. The system makes interview preparation more organized and make user to practice according to their job description approachable by utilizing machine learning models to identify behavioural flaws and recommend fixes. Mock interviews were often used in a mixed-methods pilot study to assess the system's efficiency. Based on user and system interactions, participants received AI-generated feedback with ratings, and the system's effect on interview readiness was assessed by analyzing the user answers.