Brian McGough@brian_mcgough105

In an increasingly uncertain world, the ability to anticipate and prepare for potential future events has never been more crucial. Users can input hypothetical situations—ranging from geopolitical conflicts to natural disasters—and our tool generates detailed documents describing what the world would look like afterwards. These simulations are extremely valuable to policymakers, researchers, and the general public, who are part of a growing market focused on disaster preparedness and strategic foresight. Our solution not only forecasts scenarios but also organizes the resulting data into a Retrieval-Augmented Generation (RAG) database. This setup enables an LLM agent to interactively answer queries, and deep insights in order to aid in response strategies.