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.