Rohit Gautam

In geospatial analysis, OpenStreetMap (OSM) data have become essential for urban planning, environmental assessment, and location-based services. However, these tasks often require a complex interplay between human expertise and technical tools. To bridge this gap, we present OSM-GPT, a groundbreaking opensource tool that seamlessly integrates artificial intelligence, particularly the ChatGPT API, into the geospatial domain. This fusion enables users to effortlessly generate OSM queries, extract OSM data, and visualize it in a custom and interactive manner. ## Key Features: **AI-Powered Query Generation:** OSM-GPT's hallmark feature is its ability to generate OSM queries via the ChatGPT API. Users can simply describe their requirements, such as "get all buildings" or "extract road networks", and OSM-GPT will transform these descriptions into actionable queries. **Effortless Data Extraction:** Overpass API is used to retrieve OSM data using the queries generated by OSM-GPT. Each query generates a dedicated layer, simplifying data management and enhancing the visualization experience. **Manual Query Support:** While AI-generated queries are a highlight, OSM-GPT also caters to users familiar with OSM query syntax. This enables the manual input of queries for extracting specific OSM data, ensuring flexibility and catering to a wide range of user expertise levels. **Custom Layer Creation:** To offer a comprehensive view of the data, OSM-GPT empowers users to customize layer colors. This characteristic improves the distinction of data and assists in effectively conveying valuable insights. **Selective GeoJSON Downloads:** OSM-GPT enhances data utilization by allowing users to download GeoJSON files tailored to their needs. Users can choose to download only polygons, lines, points, or all features. ## Future Prospects OSM-GPT's roadmap includes plans to introduce custom layer overlay functionality. The integration of users' own spatial data with OSM extracts will facilitate dynamic and insightful visualizations. ## Use Case Scenario: In times of disaster, OSM-GPT can be a lifesaver. It quickly figures out where buildings, roads, and hospitals are in the affected area without volunteers spending time searching. These key details are then displayed on a map, helping responders decide where to send help and where there are clear roads. Volunteers don't need to worry about complicated queries; they can focus on taking action. **In conclusion**, OSM-GPT marks a groundbreaking advancement in making geospatial discovery and analysis accessible to a wider audience. By integrating AI capabilities with OSM data manipulation, the tool streamlines the process of query generation, data extraction, visualization, and customization. It empowers users of varying technical backgrounds to harness the power of geospatial data and transform it into actionable insights. Demo: [https://dub.sh/osm-gpt-demo](https://dub.sh/osm-gpt-demo) Source Code: [https://github.com/rowheat02/osm-gpt](https://github.com/rowheat02/osm-gpt) Try OSM-GPT: [https://dub.sh/try-osm-gpt](https://dub.sh/try-osm-gpt)