Abstract: Systems, devices, and methods for applying machine learning to provide feedback related to a personal care device are described. Embodiments of the systems, devices, and methods may identify data from a device such as a razor comprising a plurality of sensors on a razor, predict one or more features such as shaving features based on the data using a machine learning model trained using data from the plurality of sensors, and provide shaving feedback based on the one or more features such as shaving features. Embodiments of the systems, devices, and methods may train a machine learning model, execute a trained machine learning model, capture and/or process data for the machine learning model, provide feedback based on the output of the trained machine learning model, or combinations thereof.

Abstract: Systems, devices, and methods for applying machine learning to provide feedback related to a personal care device are described. Embodiments of the systems, devices, and methods may identify data from a device such as a razor comprising a plurality of sensors on a razor, predict one or more features such as shaving features based on the data using a machine learning model trained using data from the plurality of sensors, and provide shaving feedback based on the one or more features such as shaving features. Embodiments of the systems, devices, and methods may train a machine learning model, execute a trained machine learning model, capture and/or process data for the machine learning model, provide feedback based on the output of the trained machine learning model, or combinations thereof.

Abstract: A system and method for generating a cue sheet for submission to a performing rights organization. The system comprising a processor for executing the steps of: receiving an electronic file associated with a broadcast production comprising a list of cues used in the broadcast production and associated use data; extracting irrelevant data from the electronic file by determining and deleting irrelevant cues, determining and deleting unnecessary and unrelated use data from each cue, and determining and deleting duplicative cues, so that relevant cues and associated use data remain after extracting; searching a music catalog database to retrieve identification data for each relevant cue; storing each relevant cue with its associated use data and identification data in a memory; and generating a cue sheet comprising relevant cues with associated use data and identification data for each relevant cue.