Example methods and systems for automatic task generation is provided. A communication platform receives an instruction to generate one or more task items associated with a virtual communication session related to a user. The communication platform accesses virtual communication data associated with the virtual communication session. The communication platform generates a task item based on the virtual communication data using a generative artificial intelligence (AI) model. The communication platform provides the task item to the user.

In an attention extraction system (100) for extracting attention information on work, an attention extraction device (1) includes an acquisition device that acquires video information and coordinate information in time series order in association with the work, an identification device that obtains a viewpoint displacement of an instructor in a visual field range to identify a gaze mode of the instructor, an extraction device that sets a gazed region based on the gaze mode, and extracts a gazed image of a work target that the instructor has gazed at in the gazed region, and a storing device that associates the extracted gazed image with the visual field range, the viewpoint displacement, and the gaze mode, and stores them in a database as attention information on the work.

The invention is a video directory. The directory is a digital advertising product, having a system of presenting business owners and businesses to the public. The system is a compilation of videos on one or more platforms or listing sites that use a directory format.

A sports services system may obtain sports-related data from various entities for matching the various entities across a network using statistical and machine learning algorithms to maximize an objective of the various entities. The various entities may comprise athletes, trainers, agents, parents, and sports organizations at any level. User data associated with each entity may be compared to maximize the opportunities for each entity to provide best options for sports achievements, goal realization, and career development while maintaining social and emotional health for all entities.

An athlete career management system and platform and method for utilizing or fabricating such a system or platform. The system for athlete career management and decision support provides a comprehensive software platform designed to facilitate various career-related decisions for athletes. Utilizing proprietary algorithms, artificial intelligence, and advanced data collection techniques, the system offers integrated functionalities that streamline career planning, contract negotiations, professional service recommendations, and educational support.

An object is to properly evaluate a training. An information processing apparatus includes a collecting unit configured to collect a work log related to a work activity performed by an employee, a determination unit configured to determine a relevance level between the work log and a training participated in by the employee, a transmitting unit configured to transmit a question for evaluating the training to the employee based on a comparison of the relevance level with a threshold, and a receiving unit configured to receive answer data of the employee to the question.

A post-incarceration digital re-entry platform establishes asynchronous communication between an incarcerated individual and a correctional facility assigned supervisor for re-entry counseling support by granting the incarcerated individual access to a post-incarceration re-entry application program (app) on an incarcerated individual personal communication and/or media device (IID) and enabling access by the supervisor to the incarceration re-entry platform. The incarceration re-entry platform maintains this asynchronous communication by presenting identified incarcerated individual need(s) and/or objective(s) to the supervisor; accepting assignment of task(s) to be completed by the incarcerated individual to achieve the need(s) and/or objective(s) from the supervisor; notifying the incarcerated individual, via the app, of the task(s); tracking progress in completing each task; and reporting completion and/or progress to the supervisor. The IID is adapted for use in the correctional facility and provides an interface, via the app, to accept identification of the need(s) and/or objective(s) by the incarcerated individual.

The purpose of the present invention is to support the utilization of training in business. An information processing apparatus is provided which includes an acquisition unit that acquires input information regarding a review of training from an employee, an extraction unit that extracts a learning content of the employee in the training based on the input information, and an output unit that outputs coaching card information based on information extracted by the extraction unit.

The disclosure is directed at a method and system for assigning credit for prior learning where the learning may be academics, from working or from life experience. In some embodiments, the disclosure may be seen as a system for awarding credit for prior learning. The disclosure assists administrators accelerate the process of reviewing applications and helps students immediately know how their experience would translate to course credits.

A method and system for generating recommendations and personalized learning paths is disclosed. The system helps identify users' skill gaps through an Agentic AI tutor, which provides tailored instructions on the projects to build a complete portfolio and achieve job qualification. This qualification process, informed by industry standards, job descriptions, and hiring manager input, accelerates the employment by automatically recommending qualified candidate to hiring managers. In some embodiments, the method includes receiving a first set of data from a first user, generating recommendations for the first user by processing the first set of data using a non-parametric algorithm, using AI models to generate a personalized learning path for the first user based on the recommendations, providing guidance to the first user through verified activities aligned with the personalized learning path, and dynamically displaying the personalized learning path to the first user and one or more second users.