<?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/2ba89368e95b44e0b94c809b5ee70bf0&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/2ba89368e95b44e0b94c809b5ee70bf0-2987ffb660e6bc4f.gif</thumbnail_url><duration>397.755</duration><title>Reality Check: Deepfake Detection</title><description>Hi everyone, I’m excited to share my project, RealityCheck, a tool designed to detect deepfakes in images and videos. With misinformation spreading rapidly online, especially through social media, it’s crucial to have accessible tools for verification. RealityCheck allows users to upload media and receive an analysis of its authenticity in seconds, highlighting suspicious frames and visual inconsistencies. I believe this project is impactful for researchers, content creators, and everyday users alike, and I’m exploring future enhancements like a browser extension for real-time verification. I hope you find this tool valuable in combating digital misinformation.</description></oembed>