<?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/5979bc3107e44e08bba2a497c7239b0e&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5979bc3107e44e08bba2a497c7239b0e-7b867f0e96246a2d.gif</thumbnail_url><duration>128.44</duration><title>Revolutionizing Solar Energy Assessment with Helioscope</title><description>In this video, I introduce Helioscope, an AI-driven solar planning tool designed to assess rooftops&apos; solar potential efficiently across large areas. By analyzing high-resolution satellite imagery, Helioscope identifies usable rooftop areas and calculates the total rooftop area, with over 213,000 square meters detected in a 2.5 square kilometer urban zone. Soon, it will integrate regional solar irradiance data to estimate energy yield and return on investment. I encourage you to explore how Helioscope can transform solar energy adoption by providing scalable and quantitative insights for decision-making. Please stay tuned for updates on its capabilities and features.</description></oembed>