darrentejaatmaja/digital-twin-thesis-project

The project is a personal thesis submission with zero stars, forks, or community traction. While the conceptual framework of applying 'Digital Twins' to education via Neo4j and LLMs is a novel combination of existing technologies, the implementation is a prototype for academic purposes rather than a production-ready tool. The defensibility is minimal (2/10) because the core 'moat' consists of a specific schema and prompt engineering strategy that is easily reproducible. From a competitive standpoint, frontier labs (OpenAI with Khan Academy's Khanmigo) and major LMS providers (Canvas, Coursera) are already deploying high-scale adaptive learning features that render niche implementations like this one obsolete unless they offer a proprietary, high-quality dataset or unique pedagogical algorithm. Platform domination risk is high because the LLM-plus-context-window pattern (RAG) is becoming a native feature of nearly all educational software.