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TRACEWISE

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Demo video · www.loom.com/…

Tracewise — See what changed. Know what matters. Tracewise is an AI-powered visual change detection platform that transforms ordinary images and videos into evidence-backed reports of real-world changes. Users upload a baseline recording and a later recording of the same space, object, or environment. Tracewise compares the visual evidence and identifies potentially missing items, newly added or replaced objects, relocated items, visible damage, and changes in condition or cleanliness. Every finding is presented with relevant before-and-after visual evidence, timestamps, and a review status. Users can approve, reject, or correct AI-generated findings before generating a final report. For example, a landlord can record an apartment before handing over the keys and compare it with a recording made when a tenant leaves. Tracewise can flag an oven that is no longer detected, a newly added iron, relocated furniture, or a fan that appears damaged. The same technology can be applied to hotel rooms, vehicles, equipment, inventory, construction sites, and other real-world environments. Our goal is to move beyond simple image comparison and make understanding physical changes as easy as recording a video.

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