{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d46be1476e3e42f3a7121bf29f5aa89a\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d46be1476e3e42f3a7121bf29f5aa89a-49812f60f02e6918.gif","duration":225.488,"title":"Automated AI-Powered Diagnostic Report Generation Project Overview 🛠️","description":"Hi, I'm Harsh, a final year computer science student at Ruyagvara University, and I'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've outlined, which includes property issue summaries, area-wise observations, and recommended actions. Your feedback on this project would be greatly appreciated!"}