Abstract: Methods, systems, and devices for experimental programs are described. A method includes acquiring baseline PPG data from a user via a wearable device throughout a time interval, and displaying one or more experimental programs via a user device based on the baseline PPG data, where each experimental program is associated with one or more behavioral changes. Upon a selection of an experimental program, the method includes acquiring additional PPG data from the user via the wearable device throughout a time interval of the experimental program. The method includes identifying adherence of the user to a behavioral change of the experimental program based on the additional PPG data and/or information received via the user device. The method further includes displaying, via the user device, changes between the baseline PPG data and the additional PPG data based on identifying the adherence to the behavioral change.

Abstract: Disclosed herein are system, method, and computer program product embodiments for the prediction of listing attributes for a for sale object (FSO). Data analyzed with respect to historical listings in a database is compared to attributes of the FSO using machine learning (ML) and artificial intelligence (AI), in order for the user to select a category related to the FSO, and for a listing generation module to generate a ultimately reduced set of listings related to the FSO, where the ultimately reduced set is used to predict a price for the FSO based on the selected category, and generate a listing for the FSO, wherein a listing for the FSO is monitored, and information from the monitoring is used as machine learning feedback to train and enhance predictions.

Abstract: Methods, systems, and devices for content delivery are described. A device may receive biometric data associated with a user from a wearable device. The device may determine that a biometric parameter of a set of biometric parameters associated with the biometric data satisfies a threshold during an occasion. The device may select media content from a set of media content for recommending to the user. Each respective media content of the set of media content may be scored based on a respective effectiveness associated with each respective media content for controlling a value of the biometric parameter. The selecting may be triggered based on the biometric parameter satisfying the threshold. The media content may be selected based on a score associated with the media content. The device may output the media content via a graphical user interface (GUI) of the apparatus during the occasion.

Abstract: Disclosed herein are system, method, and computer program product embodiments for the prediction of listing attributes for a for sale object (FSO). Data analyzed with respect to historical listings in a database is compared to attributes of the FSO using machine learning (ML) and artificial intelligence (AI), in order for the user to select a category related to the FSO, and for a listing generation module to generate a ultimately reduced set of listings related to the FSO, where the ultimately reduced set is used to predict a price for the FSO based on the selected category, and generate a listing for the FSO, wherein a listing for the FSO is monitored, and information from the monitoring is used as machine learning feedback to train and enhance predictions.