Models
March 12, 2026

Introducing Groundsource

Groundsource is a Google Research project that uses the Gemini AI model to convert unstructured news reports into structured datasets. It extracts details about events like floods to improve forecasting and research.

Groundsource is a research initiative by Google that uses the Gemini AI model to transform news reports into structured data. News articles often contain valuable information about real-world events such as floods, disasters, and infrastructure damage, but this information exists in unstructured text.

Groundsource analyzes millions of news reports and extracts key details like location, timing, and event impact. This process creates large datasets that researchers and machine learning systems can use to study patterns and improve forecasting models.

One key use case is flash flood prediction, where news reports help fill gaps in traditional weather data collected from sensors and monitoring stations.

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