Integration of large vision language models for efficient post-disaster damage assessment and reporting

Disaster response often suffers from delays and inconsistent assessments. Here, the authors develop DisasTeller, a multi-agent LVLM system that interprets disaster images, generates alerts and plans, and provides rapid, standardised support for post-disaster decision-making.