<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6300ac3ed44145fc8bd20ce5fa3e19d3&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6300ac3ed44145fc8bd20ce5fa3e19d3-95084ad36dbcec2d.gif</thumbnail_url><duration>98.965</duration><title>AI Tool for Humanitarian Clinic Operations</title><description>This Loom introduces Call of Duty, a multi-modal, agentic tool for centralized management in humanitarian and operational scenarios. It supports governments and international organizations by helping manage networks such as hospitals, including tracking, updating, and allocating resources. The platform provides a map view where clinics can connect to cameras to detect and count how many people are waiting in queues, update queue status, and suggest actions to adjust and estimate how long queues will take. It also includes a chatbot for operational managers and is powered by a Neo4j database, using Nemotron for vision, Gradium for speech-to-text, and Kimi for LLM functions.</description></oembed>