In this talk, we will explain how QFieldCloud can be extended by integrating additional Django apps. This allows, for example, the generation of QField projects, reacting to events from fieldwork, adding new websites and APIs, and executing entire QGIS models as QFieldCloud jobs.

After a technical introduction, various practical examples will be explored. It will be shown how OpenStreetMap data can be fully automated to download offline-capable QField projects. Get inspired by how an own WebGIS is brought to life in QFieldCloud using OpenLayers. Furthermore, we will demonstrate how remote sensing data can be downloaded, analyzed in a QGIS pipeline, and the results made available in QField projects. Finally, the discussion will focus on how these capabilities can be optimally used in combination with QField plugins.