AI RESEARCH
Dynamic Agentic AI Expert Profiler System Architecture for Multidomain Intelligence Modeling
arXiv CS.AI
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ArXi:2604.05345v1 Announce Type: new In today's artificial intelligence driven world, modern systems communicate with people from diverse backgrounds and skill levels. For human-machine interaction to be meaningful, systems must be aware of context and user expertise. This study proposes an agentic AI profiler that classifies natural language responses into four levels: Novice, Basic, Advanced, and Expert. The system uses a modular layered architecture built on LLaMA v3.1 (8B), with components for text preprocessing, scoring, aggregation, and classification.