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OpenStreetMap

Empowers LLMs with location-based services and geospatial data from OpenStreetMap.

About

OpenStreetMap enhances Large Language Model (LLM) capabilities by integrating location-based services and geospatial data. It provides LLMs with tools to interact with OpenStreetMap data, enabling a range of applications from geocoding and reverse geocoding to finding nearby points of interest, route directions, and optimal meeting points. Example use cases include real estate decision-making, neighborhood analysis, and parking searches, making it a versatile tool for location-aware AI applications.

Key Features

  • Geocodes addresses and place names to coordinates
  • Suggests optimal meeting points for multiple people
  • Finds nearby points of interest using OpenStreetMap data
  • Analyzes neighborhood livability for real estate
  • Calculates route directions between locations
  • 1 GitHub stars

Use Cases

  • Neighborhood Analysis
  • Real Estate Decision Making
  • Meeting Point Optimization