UrbanMind

UrbanMind is an advanced urban planning and intelligence platform that leverages tool-enhanced retrieval-augmented generation (RAG) framework to facilitate urban general intelligence (UGI). The platform offers city-level simulations that model infrastructure development, population growth dynamics, and environmental factors to support comprehensive urban planning initiatives. UrbanMind implements a C-RAG-LLM (Continual Retrieval-Augmented MoE-based LLM) architecture that integrates continual learning and tool-augmented reasoning to support dynamic, context-aware decision-making in complex urban environments. The system continuously retrieves domain-specific knowledge and incrementally adapts to evolving data distributions, enabling long-term adaptability in urban planning scenarios. UrbanMind features collaborative multi-stakeholder visualization capabilities that allow urban planners, policymakers, developers, and community members to work together on urban development projects. The platform can be deployed in a cloud-edge distributed manner, supporting efficient computation, real-time responsiveness, and privacy preservation by processing sensitive data locally on edge devices. UrbanMind's multilevel optimization framework coordinates continual retrieval, knowledge integration, and model adaptation to ensure stable learning under non-stationary and out-of-distribution data conditions. The platform transforms smart city data into actionable insights for sustainable urban development and climate-neutral planning.