An AI-Assisted Framework for European University Interview Preparation

Abstract European university admission interviews are increasingly used to assess applicants’ academic preparedness, research alignment, motivation clarity, and communication style beyond traditional quantitative metrics. However, many candidates, particularly international applicants, face significant challenges due to limited access to structured interview preparation tools aligned with European academic norms. This paper presents EuroUni Interview Prep AI, a comprehensive AI-based framework for evaluating and improving candidate readiness for European university admission interviews at the Bachelor’s, Master’s, and PhD levels. The proposed system integrates multiple evaluation dimensions, including academic depth, program understanding, faculty alignment, motivation coherence, communication structure, and cultural appropriateness within a unified interview intelligence engine. The platform simulates realistic European faculty-led interviews by dynamically generating follow-up questions, assessing consistency between statements of purpose and interview responses, and modeling admissions committee decision-making processes. It further incorporates specialized modules for faculty research alignment analysis, cultural communication coaching, and ethical and policy reasoning evaluation for AI- and data- oriented programs. Structured, rubric-based scoring is used to quantify interview readiness while providing transparent, formative feedback without offering deterministic admission guarantees. The system is implemented using a modern web-based architecture with large language model–driven structured evaluation to ensure adaptability and explainability. Experimental evaluation using simulated interview sessions demonstrates measurable improvements in response coherence, academic alignment, and overall interview preparedness. This work contributes to the field of educational AI by providing a domain-specific, ethical, and scalable solution for reducing preparation asymmetries in European university admissions. Keywords AI-assisted interview preparation, European university admissions, educational artificial intelligence, academic interview simulation, faculty alignment analysis, SOP consistency evaluation, cultural communication modelling, ethical AI education, higher education access.