US-20260128154-A1 - SYSTEM AND METHOD FOR GENERATING PERSONALISED DIETARY RECOMMENDATION

US20260128154A1US 20260128154 A1US20260128154 A1US 20260128154A1US-20260128154-A1

Abstract

The present invention relates to a system and method for generating dietary recommendation information for a user, and more particularly to a computer implemented method and system which generates and presents personalised dietary recommendation information to a user. The system and method as per the present invention constructs profile of a plurality of dietary items which includes ingredient profile, sensory profile and geographical profile, before constructing and mapping the profile of a user against the profile of a plurality of dietary items to determine confidentiality scores and generate dietary recommendations to the user.

Inventors

Mohtashim Arbaab QURESHI

Assignees

PIKKY TECHNOLOGIES INCORPORATED

Dates

Publication Date: 20260507
Application Date: 20220314
Priority Date: 20210823

Claims (20)

1 . A computer implemented method for generating custom dietary recommendation information for a user, the method comprising: a. Compiling a database of plurality of dietary items; b. Constructing a profile for each of the dietary item in the database, wherein the profile of each of the dietary item comprises: (i) an ingredient profile of the dietary item; (ii) a sensory profile of the dietary item, wherein the sensory profile comprises: a visual profile comprising visual tags depicting visual attributes of the dietary item; a taste profile comprising taste tags depicting taste attributes of the dietary item; an aroma profile comprising aroma tags depicting aroma attributes of the dietary item; a texture profile comprising texture tags depicting texture attributes of the dietary item; (iii) A geographical profile of the dietary item, identifying at least one geographical territory associated with the dietary item; c. Acquiring information and preferences from the user to construct user profile wherein the user profile comprises at least: one preferred ingredient or one preferred dietary item or one preferred geographical location; d. Mapping the user profile against the profile of a plurality of dietary items in the database; e. Constructing a confidence score for each of the mapped dietary items; f. Creating a set of dietary items having confidence score within a range, wherein the said range is calibrated with the user's profile; g. Generating recommendation information for the user wherein the recommendation information comprises at least one dietary item selected from the set of dietary items having the confidence score within the range; and h. Presenting the recommendation information to the user.
2 . The method as claimed in claim 1 wherein the said dietary items in the database includes cuisines, fruits, vegetables, ingredients, beverages, meat, edible plants or extracts thereof, etc.
3 . The method as claimed in claim 1 wherein the said ingredient profile comprises the information about the kind, quantity, and quality of the ingredients in the dietary item including the information about the molecular ingredients, micronutrients, phytonutrients, macronutrients, chemicals, additives, antioxidants, and spices used in the dietary item.
4 . The method as claimed in claim 1 wherein the said visual profile, taste profile, aroma profile, and texture profile comprises the intensity scores associated with the visual tags, taste tags, aroma tags, and texture tags respectively of the dietary item.
5 . The method as claimed in claim 4 wherein the said intensity scores are in the form of range of values.
6 . The method as claimed in claim 1 wherein the said profile of each of the dietary item further comprises information about the recipe for preparation of the dietary item including the information about cooking, roasting, processing, chopping, mixing, grinding, serving, etc. of all the ingredients.
7 . The method as claimed in claim 1 wherein the said taste profile comprises tags and corresponding intensity score for the mouthfeel experience of the prepared dietary item after the requisite cooking, roasting, processing, chopping, mixing, grinding, etc. of the ingredients as per a recipe.
8 . The method as claimed in claim 1 wherein the said sensory profile further comprises a somatosensory profile and an auditory profile of the dietary item.
9 . The method as claimed in claim 1 wherein the said geographical location in the profile of dietary item is in the form of name of a city, district, state, country, continent, restaurant, hotel, outlet, etc. preferably the location which the dietary item is considered to be native to or is most commonly associated with.
10 . The method as claimed in claim 1 wherein the said profile of each dietary item is constructed, curated, modified, managed, stored, processed, and presented by an automated computer implemented device enabled with the techniques of self-learning and artificial intelligence.
11 . The method as claimed in claim 10 wherein the said automated computer implemented device is connected with the web to through an internet protocol, wherein the device is configured to fetch the information about the dietary items from the existing databases to construct profiles on a real-time basis.
12 . The method as claimed in claim 1 wherein the said user profile includes information about the external factors such as user's current location, weather conditions, time of the day, occasion, space, ambience, etc.
13 . The method as claimed in claim 1 wherein the said user profile includes information gathered from user's cognitive behaviour and patterns such as emotions, moods, health goals, allergies, medical conditions, food habits, etc.
14 . The method as claimed in claim 1 wherein the said user profile is updated each time the user exercises and expresses a choice with respect to a dietary item whether recommended or otherwise.
15 . The method as claimed in claim 1 wherein the user profile also includes a score depicting amenability of the user to experiment and try the dietary items outside the comfort range for the user, and wherein the said score is visible to the user and can be adjusted by the user.
16 . The method as claimed in claim 1 wherein the said acquisition of information and preferences from the user to construct the user profile is carried out through an application interface on an electronic device, preferably a mobile/handheld device connected with the internet and configured with an application to display and receive information from the user on a real-time basis.
17 . The method as claimed in claim 1 wherein the said user profile is constructed, curated, modified, managed, stored, and presented by an automated computer implemented device enabled with the techniques of self-learning and artificial intelligence.
18 . The method as claimed in claim 17 wherein the said automated computer implemented device is connected with the user through an internet protocol and an application interface, wherein the device is configured to receive the information from the user for constructing, curating, modifying, managing, storing, and presenting the user profile on a real-time basis.
19 . The method as claimed in claim 1 wherein the said mapping of the user profile against the profile of a plurality of dietary items is carried out by an automated computer implemented device configured with the techniques of self-learning and artificial intelligence wherein the said mapping, construction of confidence scores, and selection of dietary items having confidence score within a range is carried out on a real-time basis.
20 . The method as claimed in claim 1 wherein the dietary recommendation information includes name, description, characteristics, ingredients, profile, image, recipe, or nutritional value of one or more dietary items. or a restaurant, geographical location, or a dietary plan, etc.

Description

TECHNICAL FIELD The present invention relates to a system and method for generating dietary recommendation information for a user, and more particularly to a computer implemented method and system which generates and presents personalised dietary recommendation information to a user. BACKGROUND OF INVENTION Food is an essential part of daily routine for humans, and variety in food is commonly craved. People, however, generally struggle while choosing what food to eat at different time during the day. This is primarily because of indecisiveness which stems from the availability of overwhelmingly large number of ever increasing options to select from. A lot of energy, time and effort goes into the decisions and choices we make on a daily basis in terms of what to eat. Confusion & indecisiveness prevails in meal planning, while cooking as well as ordering. This is primarily due to excessive and unfiltered information. The situation gets complicated and aggravated when people travel to different places and countries, and are not very familiar with the local cuisine of the new place. Even the ingredients, preparation and serving of universal dishes, such as pasta, pizza, etc. varies significantly from one place to another, which results in either more indecisiveness or often disappointment with the flavours and taste. Furthermore, for people having allergies or having medical conditions it becomes even more important and difficult to find the right dietary option or food which is consistent with the allergies and/or medical conditions and also good in taste and sensory experience. Also, the dietary habits and patterns of individuals varies significantly and depend upon several internal factors such as personal likes and dislikes, allergies, etc. as well as external factors such as time of the day, occasion, mood, cost, etc. whether consciously or sub-consciously. While there are certain platforms which help order the food, but what is lacking is personalization. It is, therefore, desirable to have a system and method which could generate and present personalized recommendation information for dietary items. Accordingly, it is desirable to have a recommendation system that understands and analyses human conscious and subconscious behaviour patterns and sensory inclinations towards aiding in their decision-making process. OBJECTS OF THE INVENTION The main object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user. Another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the ingredients of the recommended dietary items are as per the user's dietary preferences such as vegetarian, pescatarian, kosher, halal, etc. Yet another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the ingredients of the recommended dietary items takes into account any allergies and medical conditions such as shellfish allergy, peanut allergy, gluten or dairy allergy, diabetic food, etc. Still another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the recommendation takes into account user's cognitive behaviour and patterns such as moods, emotions, health goals, allergies, medical conditions, food habits, etc. Yet another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the recommendation takes into account user's external factors such as user's current location, weather conditions, time of the day, occasion, space, ambience, etc. Another primary object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the recommendation takes into account user's sensory attributes and preference in terms of taste, aroma, texture, and visuals of the dietary items. Yet another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the recommendation takes into account user's comfort food and willingness to try new dietary items outside the comfort food options. Still another object of the present invention is to provide a computer implemented method and system for generating personalized dietary recommendation information for a user wherein the recommendation information could be in the form of a dietary item, recipe of a dietary item, a cuisine, or a restaurant. The other objects, preferred embodiments and advantages of the present invention will become more appar