AI INTERVIEW PREPARATION SYSTEM

Abstract: This paper introduces an AI-driven Interview Preparation System, which aims to improve the candidate preparation to improve recruitment workflows by intelligent automation and multimodal analysis. The system incorporates a progressive, multi-level interview engine that enables the injection of context-aware questions using cutting-edge language models to allow the candidate to experience various structured interview situations that range from the basic HR interaction to a technical-level expert. To better the quality of assessments, the platform uses video- based real-time analysis of emotions and audio for response analysis to offer end-to-end evaluation on multiple dimensions such as relevance, clarity, confidence, and technical accuracy.

The architecture designed relies on a modular architecture comprising user interface using web and high-performance backend framework to handle the scalable processing. The frontend offers country-specific role-based dashboards for candidates, HR professionals, and administrators with various supporting features, such as scheduling interviews, tracking performance, and managing users. The backend makes use of the AI services for question generator and answer evaluation services whereas, on the other hand, facial emotion analysis models allows for better behavioural insights during the interview sessions. Additionally, semantic matching methods are also used to match candidate profiles to job requirements, making it possible to make better hiring decisions.

Experimental observations show that the system simulates realistic interview situations and at the same time offers usable feedback in form of detailed reports of the performance. The merging of multimodal information sources adds great value in evaluation depth that is not found within the text-based systems. Furthermore, the platform guarantees flexibility by configurable parameters such as levels of the interviews, thresholds for scoring and user roles, making it adaptable to different recruitment cases. The system plays a role in filling the gap between traditional methods of interview preparation along with modern artificial intelligence solutions by providing an end-to-end intelligent interview ecosystem.

Keywords: Artifical intelligence, interview preparation system, multimodal analysis, emotion recognition, natural language processing, candidate evaluation, machine learning, human resource management, semantic matching, fastapi.