<?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/9da764cdb88f4f7283a36e1cbaf23839&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/os/loom-media-content/loom/fae5d4d5-6fcb-4aa9-aeb0-c465ce37f7dc/4fcf76cf-215c-4e7c-af03-0b940566d3c2/sessions-thumbnails-9da764cdb88f4f7283a36e1cbaf23839-3deb855a6d642435.gif/binary?authToken=eyJraWQiOiJtaWNyb3MtZ3JvdXAvdGRwLW9zLWFyY2hldHlwZS9hb3RqMWZ2bjhlZmV0a2pjIiwiYWxnIjoiUlMyNTYifQ.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.SH6zYLFjYtYswlrptiusnLDoauGCX9fFWT-7XH-TXwutxZkzDni7PYaJ0Y98fV-DG9yi_HHuMYJg2dWxhyTtfMvWLp-uaOTYHdEusXfOfAKjJlhH42PzXx4Gt7OvuSXpEuF3D3qT1Hc-X0mByIC_-MpN4iFyEmM4iTfRy-w-UvUt92EOf1PhCYYfocE5GnTVQpidkAxvTxlcDL2J3WokzDPqI2XrDlntat7AZFgG_B7Dy6ircA9XgR098uneg9lN-JGLLWgfyDv-LtHuihLtNtXaXohz4hLnJ8xKEOPCuelrKx1l0_n9c1tV9SGw3VOgRTtfQuNVE0bKkxS10Xf5Kg&amp;Expires=1788687249&amp;Signature=DAwr3mO7jPrhnK0QnOuXzDD%7E1dg6G9NxNK9TNFUPEuiNVKsXgGHgknxj2vsAqW7mmUx2Hjcp-9NhTQOP-UgtNoq%7EMGToWqjpIBS9FdQIlUsnQwydEJErf9Scp%7Eb0GGLUB8yDAlhZ-s0y5TLDluIZ0KyrRgGrVWoZBliz2a7oT9cUcuLigDlFaNpE3cLUOWVAPYQtsCGcgueDu4gctenJb3HyNXPaDOPX65Kiz-3%7Ehes7OSv48UykCxregRGEi55Pu38pyaKq9c43w2vny4x0kbMhorYrrxWqnw3dknrAgydVXLLa%7ExHjD%7E-9XXAPPIjP9axUL677Ht53qZ%7EELmnEvg__&amp;Key-Pair-Id=KQOSYIR44AIC0</thumbnail_url><duration>152.341</duration><title>TDR Sahayak, AI Refund Guidance Hackathon</title><description>This Loom presents TDR Sahayak, a hackathon tool that helps citizens handle journey disruptions and claim refunds. The presenter demonstrates the UI where a user can type a query like “train delayed and I did not travel,” and the system responds with a risk level, what to check before filing, and guidance to prepare a mock claim with editable details. They explain the frontend was built using React with Tailwind and TypeScript for a smooth interface. On the backend, the user query is processed by a “GPT-mini” module that converts natural language to queries, while the claim part uses a separate component or an inbuilt parser to convert scripts when GPT is not used.</description></oembed>