UrbanPlanner
bysalog0d
0Provides a communication layer that exposes urban and environmental datasets as structured tools for AI components and a FastAPI backend.
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UrbanPlanner acts as the analytical engine for an AI-powered urban planning ecosystem. It serves as a crucial communication layer, exposing complex urban and environmental datasets as standardized, structured tools. This enables seamless access and utilization by AI components, such as LangChain–Gemini–LangGraph pipelines, for evaluating city infrastructure, demographic distributions, and social inequalities, connecting models, schemas, and prompt templates in a consistent and reusable manner.
Características Principales
- MCP Server Integration for stateless and streaming tool execution
- Modular analytical tools for evaluating urban parameters
- Type-safe Pydantic schemas for data validation
- Custom prompt templates for LLM-based urban analysis
- Extensible architecture ready for new tools and models
- 0 GitHub stars
Casos de Uso
- Evaluate city infrastructure distribution and service availability
- Analyze socioeconomic and spatial inequalities in population data
- Streamline AI-driven urban analysis with structured data and prompt templates
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