<?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/6ee0e039879c49fd907a346e50444d87&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6ee0e039879c49fd907a346e50444d87-00001.gif</thumbnail_url><duration>181.08</duration><title>Zero Knowledge Pre-compile Implementation by Team Charaka</title><description>Good morning respected judges. I am Prasanjit from Team Charaka. We present to you our implementation of a zero knowledge pre-compile. We have created a custom pre-compile EVM and built a pre-compile to verify ZK proofs using ZK snarks. Our implementation can be used in scenarios that require verifications, such as kyc blockchains, and it offers better interoperability and security advantages. We wish we could have implemented this on zkstarks instead of zkstarks for quantum safety. Please review our workspace on the GitHub code spaces for more details.</description></oembed>