Machine-learning for state determination and prediction

A method for providing automated-prompting notifications for a user, the method comprising:

• storing, via a non-transitory memory storage area, a schedule comprising a task to be performed by a user;
• providing, via one or more processing devices, a first automated-prompting notification to the user to perform the task;
• determining, via the one or more processing devices, that the user completed the task responsive to the first automated-prompting notification, wherein (a) a first state of the user and a first state of the user's environment are stored in association with the first automated-prompting notification, (b) the first state of the user, the first state of the user's environment, and the first automated-prompting notification are used to train a prompting model using machine learning, and (c) the prompting model outputs one or more automated-prompting notifications;
• detecting, via the one or more processing devices, a first input indicative of a context of an environment of the user;
• detecting, via the one or more processing devices, a first input indicative of a context of the user;
• determining, via the one or more processing devices and based at least in part on the first input indicative of the context of the environment of the user and the first input indicative of the context of the user, a second state of the user and a second state of the user's environment;
• determining, via the one or more processing devices and based at least in part on the second state of the user, the second state of the user's environment, and the prompting model, a second automated-prompting notification;
• and
• providing, via the one or more processing devices, the second automated-prompting notification.

A computer program product comprising a non-transitory computer readable medium having computer program instructions stored therein, the computer program instructions when executed by a processor, cause the processor to:

• store a schedule comprising a task to be performed by a user;
• provide a first automated-prompting notification to the user to perform the task;
• determine that the user completed the task responsive to the first automated-prompting notification, wherein (a) a first state of the user and a first state of the user's environment are stored in association with the first automated-prompting notification, (b) the first state of the user, the first state of the user's environment, and the first automated-prompting notification are used to train a prompting model using machine learning, and (c) the prompting model outputs one or more automated-prompting notifications;
• detect a first input indicative of a context of an environment of the user;
• detect a first input indicative of a context of the user;
• determine, based at least in part on the first input indicative of the context of the environment of the user and the first input indicative of the context of the user, a second state of the user and a second state of the user's environment;
• determine, based at least in part on the second state of the user, the second state of the user's environment, and the prompting model, a second automated-prompting notification;
• and
• provide the second automated-prompting notification.