<?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/4fcc60d972a74f9684c4b7ef3153d9de&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/4fcc60d972a74f9684c4b7ef3153d9de-e466ea2662e74fd9.gif</thumbnail_url><duration>219.634</duration><title>Flight Search Engine – Architecture, Filters, and Live Pricing Demo ✈️</title><description>This video demonstrates a responsive flight search application built using the Amadeus Self-Service API. It features real-time flight search and pricing visualization to help users quickly compare options.

Flight data is fetched using TanStack Query to ensure efficient data handling and a smooth user experience. The application includes advanced filtering options, allowing users to filter results by number of stops, price range, and airline, with all updates reflected instantly in both the results list and the price graph.

The interface is fully responsive and optimized for mobile and desktop devices. I welcome any feedback or suggestions to further improve the overall experience.</description></oembed>