Methods for pet wellness platform

Abstract

According to some embodiments of the present disclosure, a method for recommending pet food for a pet is disclosed. The method includes receiving pet information corresponding to the pet from a client user device of a user associated with the pet and generating a set of attributes relating to the pet based on the pet information. The method further includes determining a temperature classification corresponding to the pet based on the set of attributes and determining a recipe score corresponding to the pet based upon the temperature classification and the set of attributes. The method further includes determining a pet food recommendation from a pet product database based on the temperature classification, and providing a diet recommendation indicating the pet food recommendation the user via a communication network.

What is claimed is: 
     
         1 . A method for recommending pet food for a pet comprising:
 receiving, by a processing system of a platform, pet information corresponding to the pet from a client user device of a user associated with the pet;   receiving, by the processing system, sensor measurements from one or more wearable devices worn by the pet via an API of the platform;   receiving, by the processing system, video data from one or more home devices associated with an owner of the pet;   generating, by the processing system, a set of attributes relating to the pet based on the pet information, the sensor measurements, and the video data, the set of attributes including a temperature attribute indicating a body temperature of the pet;   determining, by the processing system, a temperature classification corresponding to the pet based on the set of attributes;   determining, by the processing system, a recipe score corresponding to the pet based upon the temperature classification and the set of attributes;   determining, by the processing system, a pet food recommendation from a pet product database based on the recipe score;   determining, by the processing system, a quantity of food to recommend for the pet based on the set of attributes; and   providing, by the processing system, a diet recommendation indicating the pet food recommendation and the quantity of food to the user via a communication network.   
     
     
         2 . The method of  claim 1 , wherein determining the set of attributes includes structuring the pet information into one or more attributes. 
     
     
         3 . The method of  claim 2 , wherein the pet information includes one or more of an age of the pet, a breed of the pet, a size of the pet, and a weight of the pet and the set of attributes include one or more of an age attribute, a breed attribute, a size attribute, and a weight attribute. 
     
     
         4 . The method of  claim 1 , wherein determining the set of attributes includes structuring the sensor measurements into one or more attributes. 
     
     
         5 . The method of  claim 4 , wherein the sensor measurements include one or more of heart rate data, temperature data, and breath rate data and the set of attributes include one or more of a heart rate attribute, the temperature attribute, and a breath rate attribute. 
     
     
         6 . The method of  claim 1 , wherein determining the set of attributes includes:
 analyzing the video data using a computer-vision system to determine one or more classifications based on the video data; and   structuring the one or more classifications into one or more respective attributes.   
     
     
         7 . The method of  claim 6 , wherein the one or more classifications include one or more of an eye clarity classification, a mood classification, a skin condition classification, and a muscle tone classification and the one or more attributes include one or more of an eye clarity attribute, a mood attribute, a skin condition attribute, and a muscle tone attribute. 
     
     
         8 . The method of  claim 1 , wherein the temperature classification is selected from one of a warm classification, a neutral classification, and a cool classification. 
     
     
         9 . The method of  claim 8 , wherein determining the recipe score includes:
 setting an initial recipe score based on the temperature classification; and   selectively adjusting the recipe score based on the set of attributes.   
     
     
         10 . The method of  claim 9 , wherein the pet food recommendation includes selecting a first pet food with warming ingredients when the recipe score is greater than an upper threshold, a second food with cooling ingredients when the recipe is less than a lower threshold, and a neutral food with neutral ingredients when the recipe is greater than the lower threshold and less than the upper threshold. 
     
     
         11 . A method for recommending a pet treat for a pet comprising:
 receiving, by a processing system of a platform, pet information corresponding to the pet from a client user device of a user associated with the pet;   receiving, by the processing system, sensor measurements from one or more wearable devices worn by the pet via an API of the platform;   generating, by the processing system, a set of attributes relating to the pet based on the pet information, the sensor measurements, and the video data, the set of attributes including a temperature attribute indicating a body temperature of the pet;   determining, by the processing system, a pet treat recommendation based on the set of attributes; and   providing, by the processing system, the pet treat recommendation to the user via a communication network.   
     
     
         12 . The method of  claim 11 , wherein determining the set of attributes includes structuring the pet information into one or more attributes. 
     
     
         13 . The method of  claim 11 , wherein determining the set of attributes includes structuring the sensor measurements into one or more attributes. 
     
     
         14 . The method of  claim 13 , wherein the sensor measurements include one or more of heart rate data, temperature data, and breath rate data and the set of attributes include one or more of a heart rate attribute, the temperature attribute, and a breath rate attribute. 
     
     
         15 . The method of  claim 11 , further comprising receiving, by the processing system, video data from one or more home devices associated with an owner of the pet. 
     
     
         16 . The method of  claim 15 , wherein determining the set of attributes includes:
 analyzing the video data using a computer-vision system to determine one or more classifications based on the video data; and   structuring the one or more classifications into one or more respective attributes.   
     
     
         17 . The method of  claim 16 , wherein the one or more classifications include one or more of an eye clarity classification, a mood classification, a skin condition classification, and a muscle tone classification and the one or more attributes include one or more of an eye clarity attribute, a mood attribute, a skin condition attribute, and a muscle tone attribute. 
     
     
         18 . The method of  claim 11 , wherein determining the pet treat recommendation includes determining a temperature classification based on the set of attributes. 
     
     
         19 . The method of  claim 18 , wherein determining the pet treat recommendation includes determining a pet recipe score based on the temperature classification and the set of attributes. 
     
     
         20 . The method of  claim 19 , wherein determining the pet treat recommendation includes determining the pet treat from a product database based on the pet recipe scores and one or more ingredients of the pet treat.