『Inside Loop’s Experimental AI-Powered Food Search』のカバーアート

Inside Loop’s Experimental AI-Powered Food Search

Inside Loop’s Experimental AI-Powered Food Search

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DIY Loop user Taylor Patterson built an AI-powered food analysis tool right into the AID app—helping users take pictures, scan barcodes, or enter text and voice prompts to get carb estimates, nutrition breakdowns, and diabetes-oriented notes. In this episode, Taylor explains how he created the feature in just 30 minutes, how it’s already helping him improve his time in range, and why AI could change the way people with diabetes approach meals and treatment.

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