<?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/8453c310d0b749c8bc0acc2b685e948b&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/8453c310d0b749c8bc0acc2b685e948b-61b8d57a21a5d2ea.gif</thumbnail_url><duration>300.96</duration><title>Introducing the Travel AI Assistant: Your Guide to Destinations and Weather</title><description>In this video, I present the travel AI assistant I developed for my mini project, which consists of two main AI agents: a tourist guide and a weather agent. The tourist guide provides insights into heritage destinations, including cities and sites to visit, using a vector database to extract relevant information. The weather agent offers real-time weather updates and historical data through API calls and a BigQuery database. I demonstrate how the assistant responds to inquiries about travel destinations and current weather conditions. I encourage viewers to explore the capabilities of this AI assistant and consider how it can enhance their travel planning.</description></oembed>