System and method for professional profiling and simulation via taxonomy-based mapping and and persistent NPC ecosystem dynamics

Abstract

A computer-implemented system addresses the technical problem of static and superficial professional representation by transforming verified user career data into dynamic fantasy RPG avatars. A classification engine maps real-world credentials into RPG classes, elemental affinities, and specialization paths. An avatar generation module evolves the avatar based on ongoing achievements. Simultaneously, a persistent non- player character (NPC) ecosystem simulates autonomous lifecycles, social behavior, and economic roles influenced by user progression. Unlike traditional platforms, the system uses symbolic, narrative-based achievements instead of quantitative scores. A dual-interface allows toggling between an immersive fantasy view and a symbolic professional profile where titles and roles reflect growth. The system enables immersive career visualization, NPCdriven interactions, and professional engagement through fantasy-driven progression tied to real-world data.