Artificial intelligence (AI) based technologies for improving patient intake are disclosed herein. An example method includes receiving a patient intake request from a user; initiating, based on the patient intake request, a patient intake data stream including verbal responses from the user regarding patient intake of the user; applying, while simultaneously receiving the patient intake data stream, a natural language processing (NLP) model to the verbal responses from the user to output (i) textual transcriptions and (ii) intent interpretations; generating, by a care plan generation module, a recommended care plan based on the textual transcriptions and the intent interpretations; identifying, by an intent interpretation fulfillment module, one or more recipient entities to receive the textual transcriptions and the recommended care plan; and transferring the textual transcriptions and the recommended care plan to one or more recipient entity devices of the one or more recipient entities.

User interfaces, systems, methods, devices, media, and instructions are described for a client/contractor management and communication system with augmented reality (AR) and/or virtual reality (VR) interface elements. In one embodiment, a device receives finish and inspiration information associated with a home improvement project from a client and structures this information into finish pin data with associated project context information and 3D model data. The device uses this information to automatically generate and update a project chart for the project, along with 3D models for various subproject positions within a project chart. This information is then presented to the client and associated contractors as part of a user interface for a client/contractor system. A project chart interface enables access to 3D models in an AR or VR interface to display models of the project and various project data associated with different positions in a project chart.

In an information processing device, a skeleton estimation unit estimates a skeleton of a service user, an information acquisition unit acquires attribute data including a body height of a service user, and a calculation unit calculates a length of a target portion of the service user based on the skeleton and the body height, and an information providing unit provides predetermined information (information about foot grounding property, an inclined angle of an upper body, and a posture, and the like) about a posture of the service user based on the length of the target portion and the information about a test ride vehicle serving as a seating target.

An adaptive cloud conversation platform capable of making automated decisions regarding when and how to establish on-going communications with consumers so as to maximize the relationship between the consumer and a given brand. The system has a connection management services layer which determines what communications should be established and how they should be established, an initiation management services layer which determines when communications should be established, and a user management services layer which stores information about consumers and brands for determination of when and how communications should be established. Certain of these services have machine learning algorithms incorporated into them trained to perform analyses of the particular type of operation handled by that service. The outputs of each service can be used as inputs to other services, such that a network of machine learnings algorithms is created which determines when and how to establish on-going communications with consumers.

A method for knowledge answering includes: receiving a user question entered by a client, and obtaining a target insurance rule matching the user question from a plurality of insurance rules; searching for an answer in an insurance knowledge graph based on the target insurance rule, in which the insurance knowledge graph is generated based on the plurality of insurance rules; and returning the answer to the client.

Devices and techniques are generally described for generating and evaluating utterances. In some examples, an utterance generation and evaluation system can receive intent data and target data. The utterance generation and evaluation system can determine related target names and related intent names and, based on the related target names and related intent names, can generate an utterance phrase. The utterance generation and evaluation system can determine a confidence score associated with the utterance phrase and, based on the confidence score, determine the utterance phrase as a recommended utterance phrase.

To provide an opportunity to receive advice on equipment that is beneficial for users to improve their skill. A motion analysis system includes a movement sensor device for detecting a state of a racket, a user terminal for presenting to a user an analysis result of a movement of the racket analyzed based on detection information detected by the movement sensor device, and an adviser terminal for presenting to an adviser an advice request transmitted from the user terminal along with the analysis result and receiving input of advice information created by the adviser and corresponding to the advice request. The advice information includes recommendation information related to equipment recommended to the user.

Systems and methods associated with computer-implemented platforms involving video, mobile, GUI-related, bid-based, and/or other features are disclosed. According to certain illustrative implementations, one exemplary method may include generating a project request including a video, the video describing a project with one or more project details, transmitting the project request to a server for processing, and receiving feedback information from the server, the feedback information associated with servicing the project request. Numerous other systems, methods, and computer-readable media innovations are also disclosed.

Systems and methods associated with computer-implemented platforms involving video, mobile, GUI-related, bid-based, and/or other features are disclosed. According to certain illustrative implementations, one exemplary method may include generating a project request including a video, the video describing a project with one or more project details, transmitting the project request to a server for processing, and receiving feedback information from the server, the feedback information associated with servicing the project request. Numerous other systems, methods, and computer-readable media innovations are also disclosed.

Systems and methods managing interaction between one of a plurality of advisors and a client. Client intent is determined based upon request details indicating a category of interest to the client. One of a plurality of advisors is selected to advise the client based, at least in part, upon the category and the client intent. The client is added to a sales pipeline of the selected advisor, and the selected advisor is prompted, at intervals, to interact with the client. The workload of each advisor is managed. The selected advisor is also prompted to generate and send a curation to the client. The systems and methods also provides e-commerce card fraud protection using conventional transaction processing methodology by including a random code in a pending transaction for the card and finalizing the transaction with the card provider when the code is correctly returned by the client.