Abstract: Trip classifying systems and methods include one or more servers communicatively coupled with a mobile device, one or more data stores, and a trip classifying device. The trip classifying device includes a housing, a processor, a wireless communication module, a speaker, a business selector, a personal selector, and a microphone. In response to a signal received from a mobile phone indicating that the trip has begun, the trip classifying device provides a notification to the driver to classify the trip. In response to receiving the user selection of the business selector, the system automatically initiates an audio recording for the driver to dictate a business purpose for the trip. The audio recording is transmitted to the mobile phone which initiates transcription and later displays the transcription on a user interface of the mobile phone. The trip classifying device may have no trip classifying selectors except the business and personal selectors.

Abstract: A method performed by one or more electronic devices for ascertaining a purpose of a meeting is described. In various embodiments, calendar event data and trip data are obtained. The calendar event data and the trip data are combined to produce aggregated data. A set of feature vectors are determined for the aggregated data. A neural network is utilized to determine whether the set of feature vectors indicate a meeting. A set of purpose clusters are generated based on at least one of the set of feature vectors and user-formulated purposes and a prototype purpose is formulated for each cluster in the set of purpose clusters. At least a subset of the feature vectors is mapped to one cluster of the set of purpose clusters in response to determining that the feature vectors indicate a meeting. The prototype purpose for the mapped cluster for the indicated meeting is presented.