Knode.AI
This project demonstrates how a real-time, temporally aware knowledge graph built from live financial news can bridge the information latency gap in financial risk operations by transforming evolving macroeconomic events into actionable stress scenarios.
Course: Systems Design Studio
This project demonstrates how a real-time, temporally aware knowledge graph built from live financial news can bridge the information latency gap in financial risk operations by transforming evolving macroeconomic events into actionable stress scenarios. By integrating news scraping, LLM-driven preprocessing, and dynamic weight decay within a Neo4j knowledge graph, the system achieved accurate event representation and responsive scenario generation with significantly faster analysis times compared to traditional manual workflows.