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Atlas Urban Intelligence is an AGPL 3.0+ modular smart city AI system that transforms distributed edge sensor data into real-time, event-based urban intelligence. It is designed around privacy-by-default principles, ensuring no persistent identity tracking while enabling scalable analysis of real-world motion across intersections, highways, and urban environments. The system combines edge inference, federated learning, and a policy-driven compliance layer to deliver transparent, auditable, and privacy-preserving city-scale intelligence. https://roxanneardary.com/atlas-urban-intelligence/
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Free, keyless REST API and MCP server for German public-infrastructure open data across 84+ cities. Official mirror of github.com/street1983nk/infranode.
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