[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
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Updated
Nov 18, 2025
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
Production-ready Multi-Agent System for Smart Traffic Management & Linked Open Data. Integrates Computer Vision (YOLOX/DETR) with Semantic Web standards (NGSI-LD, RDF, SOSA/SSN)
Research-driven Urban Intelligence Platform for Nagpur using PostgreSQL, SQL, Python, GIS, and Data Analytics to generate reproducible infrastructure, growth, and real estate insights.
IBM-powered smart city intelligence platform for predictive transit, emergency response, and sustainable urban mobility.
🌍 SDG-Trans-RAG: AI-Powered Urban Intelligence Integrating UN-Habitat SDG Frameworks with Multi-Modal Transportation Data 🚀 Overview SDG-Trans-RAG is an advanced Retrieval-Augmented Generation (RAG) system designed to bridge the gap between high-level policy (Sustainable Development Goals) and ground-level infrastructure. It enables urban planner
KEEPIT OASIS — The Physical API for AI Agents. Open-source urban location intelligence framework bridging World Models and the real world.
AirNet is a full-stack, city-scale atmospheric air quality command platform that fuses real-time WAQI sensor telemetry, 24-48h Open-Meteo weather forecasting, and Google Gemini AI to power predictive AQI monitoring, cascade impact modeling, pollution source attribution, and multi-objective urban policy optimization for modern cities.
Urban HUD mapping platform with ESP32 Wi-Fi scanning, route traffic estimation, and GPT-4o spatial reasoning.
Real-Time Big Data Platform for Urban Intelligence and Predictive Decision Support
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