Abstract: The method provides for detecting information associated with consumed food. Data associated with detection events of food for possible consumption by a user is received from a plurality of sources. The data of detected food is parsed using a first criteria and parsing of event metadata is done using a second criteria and the data received from the detection event. Aggregate data is created for the food items by combining the detected food item data and the respective metadata of the detection event. An ordered list of food items from the aggregate data is generated and arranged according to a determined user consumption probability for the ordered list food items. The aggregate data of respective food items of the ordered list includes nutritional information of macronutrients and calories, accessed from a database, and the list of food items potentially consumed by the user are formatted into a predetermined form.

Abstract: The method provides for detecting information associated with consumed food. Data associated with detection events of food for possible consumption by a user is received from a plurality of sources. The data of detected food is parsed using a first criteria and parsing of event metadata is done using a second criteria and the data received from the detection event. Aggregate data is created for the food items by combining the detected food item data and the respective metadata of the detection event. An ordered list of food items from the aggregate data is generated and arranged according to a determined user consumption probability for the ordered list food items. The aggregate data of respective food items of the ordered list includes nutritional information of macronutrients and calories, accessed from a database, and the list of food items potentially consumed by the user are formatted into a predetermined form.