Abstract: Aspects of the disclosure relate to an automated and adaptive validation of a user interface. A computing platform may extract, from a webpage, one or more components of the webpage. Subsequently, the computing platform may determine, for a component, one or more attributes and one or more rules. Then, the computing platform may associate, by applying a clustering algorithm and based on the one or more attributes and the one or more rules, the component with a cluster of a plurality of clusters. Then, the computing platform may retrieve, from a database and for the cluster, a master test script. Subsequently, the computing platform may generate, from the master script, a test script for execution, and may run, for the webpage, the test script to validate the component. Subsequently, the computing platform may trigger one or more recommendations based on a determination whether the test script is successful.

Abstract: A system and method are provided for a first computing node of a blockchain infrastructure to obtain at least one digital file from a second computing node of the blockchain infrastructure. The first computing node obtains a request for the at least one digital file. The first computing node identifies, based on a distributed ledger, the second computing node as a geographically closest computing node to the first computing node that has a copy of the at least one digital file stored locally at the second computing node. In response to the identifying, the first computing node establishes a peer-to-peer connection with the second computing node and receives a copy of the at least one digital file from the second computing node over the peer-to-peer connection.

Abstract: A system and method are provided for a first computing node of a blockchain infrastructure to obtain at least one digital file from a second computing node of the blockchain infrastructure. The first computing node obtains a request for the at least one digital file. The first computing node identifies, based on a distributed ledger, the second computing node as a geographically closest computing node to the first computing node that has a copy of the at least one digital file stored locally at the second computing node. In response to the identifying, the first computing node establishes a peer-to-peer connection with the second computing node and receives a copy of the at least one digital file from the second computing node over the peer-to-peer connection.

Abstract: Aspects of the disclosure relate to an automated and adaptive validation of a user interface. A computing platform may extract, from a webpage, one or more components of the webpage. Subsequently, the computing platform may determine, for a component, one or more attributes and one or more rules. Then, the computing platform may associate, by applying a clustering algorithm and based on the one or more attributes and the one or more rules, the component with a cluster of a plurality of clusters. Then, the computing platform may retrieve, from a database and for the cluster, a master test script. Subsequently, the computing platform may generate, from the master script, a test script for execution, and may run, for the webpage, the test script to validate the component. Subsequently, the computing platform may trigger one or more recommendations based on a determination whether the test script is successful.

Abstract: Embodiments of the present invention provide a system for rendering applications based on real-time accessibility assessment. The system is configured for identifying that a user is accessing an application on a user device, capturing real-time accessibility data associated with the user device of the user and real-time usage data associated with the user, wherein the real-time usage data is associated with usage of the application, validating the real-time accessibility data and the real-time usage data; inputting the real-time accessibility data and the real-time usage data into a machine learning model, analyzing the real-time accessibility data and the real-time usage data, via the machine learning model, generating an accessibility score based on analyzing the real-time accessibility data and the real-time usage data, and rendering the application based on the accessibility score.

Abstract: Embodiments of the present invention provide a system for rendering applications based on real-time accessibility assessment. The system is configured for identifying that a user is accessing an application on a user device, capturing real-time accessibility data associated with the user device of the user and real-time usage data associated with the user, wherein the real-time usage data is associated with usage of the application, validating the real-time accessibility data and the real-time usage data; inputting the real-time accessibility data and the real-time usage data into a machine learning model, analyzing the real-time accessibility data and the real-time usage data, via the machine learning model, generating an accessibility score based on analyzing the real-time accessibility data and the real-time usage data, and rendering the application based on the accessibility score.