Abstract: A method of processing an image, comprises receiving image data from a subject at a remote location, and analyzing the image data to identify therein a content pertaining to a food item. A set of subject descriptor features specific to the subject is obtained, and a trained machine learning procedure is applied to the identified food item and the set to provide a score describing a response of the subject to the food item. The method generates processed image data containing the score superimposed on at least a portion of the received image data, and transmits the image data to a display device viewable by the subject at the remote location.

Abstract: A method of providing a subject with a personalized diet comprises: receiving from a graphical user interface (GUI) at a remote location a list of food items defining a meal, obtaining a set of subject descriptor features specific to the subject, and constructing a meal vector based on the list. Similarities between the meal vector and vectors in a database of food vectors are calculated, and at least one database vector is selected based on the similarities and the set of subject descriptor features. Based on the selected database vector(s), an identification of at least one food item is transmitted to the remote location for displaying the identification on the GUI as one or more food item(s) that is an addition to the meal.