New AI model finds a cheaper path to healthier eating

UC Davis researchers built an AI system that improves nutrition without forcing people to abandon their usual meals. Instead of designing perfect plates from scratch, the system analyzes common eating patterns and suggests just one to three ingredient swaps — like adding vegetables or removing processed items. Those small changes improved nutritional quality by roughly 10% while cutting meal costs by 22% to 34%.