Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

A knowledge management system and method. The knowledge management system and method can have multi-industry applications with special suitability for program-based initiatives, research projects, healthcare sector programs, educational system programs, workforce development initiatives, and social service outcomes.

Non-limiting examples of the present disclosure relate to application of artificial intelligence (AI) processing to generate classifications of user activity for a group of users. For example, a classification prediction is generated indicating whether students in an educational class are predicted, over a predetermined time period, to have a high or low activity level based on contextual analysis of multiple types of user-driven events. As user activity data is typically quite robust, the present disclosure applies dimensionality reduction processing to efficiently manage user activity data and further improve accuracy in generating downstream binary classifications. A dimensionality reduction transformation of user activity data results in a low-dimensional representation of input feature data that is contextually relevant for generating a binary classification. Derived classifications are then utilized to generate data insights pertaining to user activity levels of one or more users. Data insights are can then be rendered for presentation.

Disclosed are a method and a system for cross-chain data access of blockchain. According to the technical solution, an adapter is added between a service blockchain and a witness blockchain, a cross-chain initiation event and a cross-chain response event on a local service blockchain are registered to the witness blockchain by using the adapter, so as to provide query and push services of cross-chain events to other nodes on the local service blockchain, and trigger related operations on the local service blockchain according to the cross-chain events of the witness blockchain.

A curriculum management system is provided. The system comprises a data store comprising a plurality of coding elements, each coding element providing hierarchical prioritisation of a course in a program, and at least one server, the server configured to provide course suggestions for the program based at least in part upon the coding elements. Related curriculum management methods are also provided.

The present invention provides a method and a system for receiving school data from one school administration device; storing the school data to a remote server; receiving attendance data from one teacher device, dedicated room data from one dedicated hardware device, and unique identification data from one input device; processing the school data, the attendance data, the dedicated room data, and the unique identification data; generating a record of movement; analyzing the school data, the attendance data, the dedicated room data, the unique identification data, and the record of movement to generate an activity identifier; storing the activity identifier and the record of movement to the remote server; generating a visualization; generating a notification; transmitting the notification to the one school administration device, the one teacher device, and one guardian device; and storing the notification.

Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

Systems and related methods for a training protocol are described. The system and methods may include a graphical user interface where after selecting an evaluated trainee and an evaluated task, a score input region populates certain features associated with the evaluated trainee and the evaluated task, including a score region. Furthermore, the systems and methods may further include generating a training report which is configured to receive a plurality of training subjects. In some aspects, generating the training report further includes preventing certain portions of the training report from further edits after a pre-determined event occurs.

A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.