Channel calorie consumption and notification using machine reasoning

An information handling system for a personalized virtual assistant interface comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising:
• training an artificial intelligence (AI) system to generate a meal recommendation corresponding to a human subject, the AI system trained with a plurality of eating characteristics corresponding to a human subject, wherein the eating characteristics include one or more eating patterns, a plurality of health data, and a plurality of activity data;
• communicating with a plurality of sensors to obtain current food consumption data and current physical activity data for the human subject to include in a feedback loop;
• continually training the AI system using the feedback loop to generate the meal recommendation based on the current food consumption data and current physical activity data;
• determining a set of caloric needs pertaining to the human subject using current net data for the human subject, the current net data including current consumption data and current energy output data for the human subject provided by one or more sensors;
• generating, by the trained AI system, the meal recommendation corresponding to the human subject, wherein the meal recommendation includes a recommended meal time and one or more food recommendations that are based upon the set of caloric needs pertaining to the human subject;
• and
• automatically providing the generated meal recommendation at a time that is based on the recommended meal time at the personalized virtual assistant interface that is voice-enabled and is accessible by the AI system.

A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, performs actions comprising:

• training an artificial intelligence (AI) system to generate a meal recommendation corresponding to a human subject, the AI system trained with a plurality of eating characteristics corresponding to a human subject, wherein the eating characteristics include one or more eating patterns, a plurality of health data, and a plurality of activity data;
• communicating with a plurality of sensors to obtain current food consumption data and current physical activity data for the human subject to include in a feedback loop;
• continually training the AI system using the feedback loop to generate the meal recommendation based on the current food consumption data and current physical activity data;
• determining a set of caloric needs pertaining to the human subject using current net data for the human subject, the current net data including current consumption data and current energy output data for the human subject provided by one or more sensors;
• generating, by the trained AI system, the meal recommendation corresponding to the human subject, wherein the meal recommendation includes a recommended meal time and one or more food recommendations that are based upon the set of caloric needs pertaining to the human subject;
• and
• automatically providing the generated meal recommendation at a time that is based on the recommended meal time at a personalized virtual assistant interface that is voice-enabled and is accessible by the AI system.