Provided are methods and compositions for providing one or more food item recommendations for an individual. Methods can include determining an individual set of conditions from an overall set of conditions for the individual. Methods also include generating recommendations involving consumption of food, supplement and/or ingredients to affect the one or more biological conditions.

A motion analysis apparatus for food preparation includes at least one motion detection device configured to capture motion data. A controller is in communication with the motion detection device. The controller is configured to compare the motion data to a food preparation movement and initiate a motion instruction for a recipe in response to a comparison of the motion data to the food preparation movement.

Disclosed is a technology of providing customized nutritional supplement information. More particularly, provided is a device for providing nutritional supplement information, including: a nutritional supplement database configured to store intaking nutritional information according to a person’s age and gender, and information on a commercially available nutritional supplement; a member manager configured to generate member information by registering a user of a nutritional supplement information-providing service and a counselor member for professional consultation and, when a service use request is received from a user terminal, and to perform member authentication for whether the user is registered as a member based on user’s identification information included in the service use request; a nutritional supplement recommender configured to generate questionnaire data for recommending a nutritional supplement to the user when the user is confirmed as a registered member, and to generate user-customized nutritional supplement recommendation information based on answer data to the questionnaire data received from the user terminal and the intaking nutritional information; and a communicator configured to transmit the nutritional supplement recommendation information to the user terminal.

A method of pairing foods, performed on a smart device includes combining data from at least two of: a food pairing database, which comprises data based on taste profiles of said foods, a food heating profile database, which comprises data based on a length of time said foods require in order to be cooked, and a taste correction at altitude database, which comprises data based on a taste of said food at a particular altitude, and comparing said data, and outputting an optimized pairing of foods, based on one or more of taste, heating time and taste at altitude.

A method of operating a food categorization engine includes extracting features from each text description of a training food data set to generate a feature set. The feature set is analyzed to determine sets of food categorization features that correlate to one or more food categories, wherein the sets of food categorization features are defined by a plurality of category vectors. Individual words and/or characters of a text description of a food item received from a user are then analyzed in order to generate a numerical vector representative thereof. The numerical vector is multiplied by a matrix defined by the plurality of category vectors. One or more food categories with which to associate the received food item are automatically selected based at least in part on the multiplication, and the data record associated with the food item is amended to include the selected food categories.

The present invention relates to novel methods, tools and systems that provide an individual with the ability to define a personalized portion and evaluate food in real-world situations to offer guidance to the individual on the amount of the food the individual should eat as part of a controlled and consistent diet based on food volume. In particular, the methods, tools and systems of the present invention define food quanta personalized to the user, and further utilizes augmented reality to overlay a selected food quantum on real-world food in order to guide the user to select a definable food quantum, e.g., to achieve a dietary goal.

Systems, methods, and apparatus for characterizing the nutritional needs of an animal. The method can include providing an animal profile comprising one or more animal criteria. The method can also include extracting, from a first database, one or more lists of ingredients associated with the one or more animal criteria. In addition, the method can include determining a rating associated with the extracted lists of ingredients, and comparing the rating with at least one ingredient from the one or more lists of ingredients. A nutritional profile of the animal can then be determined based on at least one of the animal profile, the extracted lists of ingredients, and the rating of the extracted lists of ingredients.

Methods and systems for monitoring nutrient levels and recommending dietary intake via a customizable indication-dependent platform are presented. In one embodiment, a method is provided that includes generating, by a computing device having one or more processors and via an application programming interface, an application for assessing a nutritional need and/or nutrient level (e.g., collagen level). The application may prompt the entry of user attributes to assess the nutritional need or nutrient level. The computing device may receive, from a user device associated with a user, the user attributes. Based on the user device and the user attributes, the computing device may store a user profile associated with the user. An assessment of the nutritional need and/or nutrient level may be generated for the user. A recommendation for a dietary intake may be provided to the user via the application.

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: identifying each ingredient in an ingredient list of a recipe published on a webpage by identifying query strings from content on the webpage associated with one or more ingredients of the recipe; extracting, using an iterative process, respective ingredients from each line of text of a respective query string of the query strings, wherein each iteration of the iterative process runs until the respective ingredients of the recipe are selected; and mapping a list of one or more respective recipe products by size; and automatically adding the list of one or more respective recipe products to an electronic shopping cart. Other embodiments are disclosed.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.