8:48

In this informal product demo, brothers Josh and Daniel introduce Nutrify, a mobile app that uses computer‑vision AI to identify foods from a phone camera, much like Shazam identifies music. Built with iOS Core ML and a TensorFlow backend running on a single‑GPU “Denti” workstation, the app currently recognizes 420 foods across 22 categories, each represented by custom icons. Users point their camera at a dish, receive a nutrition summary, storage tips, and can save the entry to a visual food diary called the Nutridex, which tracks personal consumption trends. The demo walks through a sample meal (scrambled eggs, iced coffee, chicken curry with rice), shows the stats tab, and highlights the app’s gamified, whole‑food focus (as opposed to barcode scanners like Yuka). The brothers discuss the small Brisbane‑based, part‑time team, their development roles, the app’s free tier and premium upgrade, and invite users to download Nutrify, report bugs, and suggest new foods to expand the Nutridex.

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