Mobile and autonomous personal companion based on an artificial intelligence (ai) model for a user

A non-transitory computer-readable medium storing a computer program for implementing a method, the computer-readable medium comprising:

• program instructions for accessing data related to monitored behavior of a user;
• program instructions for classifying the data by class, wherein a plurality of classes includes an objective data class identifying objective data relevant to a group of users including the user, and a subjective data class identifying subjective data that is specific to the user;
• program instructions for accessing objective data related to monitored behavior of a plurality of users including the user;
• program instructions for providing as a first set of inputs into a deep learning engine configured to perform artificial intelligence (AI) the objective data of the user, the subjective data of the user, and a plurality of objective data of the plurality of users;
• program instructions for determining a first plurality of learned patterns predicting user behavior when responding to the first set of inputs;
• and
• program instructions for building a local AI model of the user comprising the first plurality of learned patterns.

A computer system comprising:

• a processor;
• and
• memory coupled to the processor and having stored therein instructions that, if executed by the computer system, cause the computer system to execute a method comprising:
• accessing data related to monitored behavior of a user;
• classifying the data by class, wherein a plurality of classes includes an objective data class identifying objective data relevant to a group of users including the user, and a subjective data class identifying subjective data that is specific to the user;
• accessing objective data related to monitored behavior of a plurality of users including the user;
• providing as a first set of inputs into a deep learning engine configured to perform artificial intelligence (AI) the objective data of the user, the subjective data of the user, and a plurality of objective data of the plurality of users;
• determining a first plurality of learned patterns predicting user behavior when responding to the first set of inputs;
• and
• building a local AI model of the user comprising the first plurality of learned patterns.