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New AI could turn meal photos into instant nutrition facts

  • Researchers from NYU Tandon School of Engineering have developed an AI system that can recognize meals from photos and provide a full nutritional breakdown.
  • The smart food scanner uses an AI image recognition tool called YOLOv8 to identify different types of food, estimate portion sizes, and calculate the nutritional content.
  • The AI system has an accuracy rate of around 80% and is currently a prototype, but it has the potential to be expanded for everyday health tracking and used by healthcare providers.
  • The tool aims to make healthy eating easier and smarter, helping people manage their weight, diabetes, and other diet-related health concerns.

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