The storm has passed. You are gearing up to assess the damage to the area and support people affected by flooding. Data and digital tools are making it much easier to reach even the most remote communities.

To identify how many people are affected, where they live, and the severity of the damage, you execute an تقييم الأضرار الآلي (ADA), a deep learning model that identifies damaged buildings in satellite images. Automating this assessment makes it faster and far less dependent on human effort, enabling you to quickly deliver the information that is needed which makes a difference on the number of lives that can be saved.

Your National Society decides to provide cash assistance to support individuals in managing their needs in a dignified way – from securing food to carrying out home reparations. To make this process easier, safer and faster, you deploy the منصة 121, a user-friendly digital tool to streamline end-to-end payments. The platform is designed for simplicity, so you can operate it by yourself after a single day of training!

Alongside the continued use of DEH و SML, you want to provide a quick and safe way of accessing information about the services that local aid organisations offer, and answers to FAQs. You implement the Helpful Information web-App (HIA). In the flood’s aftermath, you feed the app with information on where and how to access essential goods and services, such as food or psychological first aid – critical knowledge for your community and yourself.