Method for artificial intelligence (AI)-driven nutritional assessment for packaged foods, involves automatically analyzing food label, and extracting nutrient, ingredient, sugar, harmful additives, and allergen information on key parameters from label by using application that employs AI models
	CHATTARKI T; MORE R; MANE R; PATIL T; VAIRAGAR S
	2025-03-29
专利权人	PATIL INST TECHNOLOGY D Y (PATI-Non-standard)
申请日期	2025-03-29
专利号	IN202521030730-A
成果简介	NOVELTY - The method involves extracting nutritional information from food packaging and sending it to the cloud through application programming interface integration in order to analyze it, and scanning the back of packaged foods to give nutritional value (113) in detail by using a mobile application. The food label is analyzed (109) automatically, and nutrient (107), ingredient (106), sugar, harmful additives, and allergen information on the key parameters are extracted from the label by using the application that employs advanced image recognition technology and AI models. USE - Method for AI-driven nutritional assessment for packaged foods. ADVANTAGE - The method enables easily understanding the food labels and providing encouragement for good eating practices that help users to make good eating decisions for better health management. The method is scalable and flexible, and is catered for different regions, types of foods, and consumer preferences in an efficient manner, and also enables analyzing ingredients in real time while detecting the presence of hazardous substances. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic representation of an AI-driven nutritional assessment method. 104Local database 105Online database 106Ingredient 107Nutrient 109Automatically analyzing food label 113Nutritional value
IPC 分类号	G09B-019/00 ; G16H-010/20 ; G16H-010/60 ; G16H-020/60 ; G16H-050/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13380
专题	中国科学院新疆生态与地理研究所
作者单位	PATIL INST TECHNOLOGY D Y (PATI-Non-standard)
推荐引用方式 GB/T 7714	CHATTARKI T,MORE R,MANE R,et al. Method for artificial intelligence (AI)-driven nutritional assessment for packaged foods, involves automatically analyzing food label, and extracting nutrient, ingredient, sugar, harmful additives, and allergen information on key parameters from label by using application that employs AI models. IN202521030730-A[P]. 2025.

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