<?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/d46be1476e3e42f3a7121bf29f5aa89a&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/d46be1476e3e42f3a7121bf29f5aa89a-49812f60f02e6918.gif</thumbnail_url><duration>225.488</duration><title>Automated AI-Powered Diagnostic Report Generation Project Overview 🛠️</title><description>Hi, I&apos;m Harsh, a final year computer science student at Ruyagvara University, and I&apos;ve developed an AI-powered diagnostic report generator as part of my project. This system processes inspection and thermal reports to create structured, client-friendly diagnostic reports, extracting relevant observations and providing actionable solutions. I utilized a rank-based pipeline and various technologies like Python and Hugging Face embeddings to achieve this. I encourage you to review the detailed report format I&apos;ve outlined, which includes property issue summaries, area-wise observations, and recommended actions. Your feedback on this project would be greatly appreciated!</description></oembed>