<?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/5880f1d4b3784b38bcc38a7cf91123a0&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/5880f1d4b3784b38bcc38a7cf91123a0-08ad6e63a518e92f.gif</thumbnail_url><duration>198.261</duration><title>MomShield AI Baby Product Safety Check ✅</title><description>In this Loom I walk you through my MomShield AI, a premium safety product that helps parents get a 100 percent peace of mind by auditing baby product ingredients. I set up the project, install dependencies in the virtual environment, and run it using a run file. The dashboard supports multilingual language, including Arabic and English, and uses a vision language model like GPT 4.0 to extract text, flag unsafe ingredients, and provide a safety score. For example, the baby lotion was marked safe overall but cautioned cetyl alcohol and advised avoiding triethylamine glycoloate. If a pizza image is not related or a safety score is below 6 or 5, it tells you to avoid and suggests alternatives, and I also share a quick scan speed of under 200 to 300 milliseconds using SHA-256 hashed data.</description></oembed>