Abstract: Systems, computer program products, and methods are described herein for communication data identification and alert generation via a machine learning framework. The present disclosure includes determining a first status of an underlying service, receiving a stream of interaction data from a first user via at least one channel, classifying an interaction via a first machine learning model, generating a first notification signal via a second machine learning model, wherein the second machine learning model may be provided, as inputs, the first status of the underlying service and an interaction pattern associated with the identity, and transmitting the first notification signal via the at least one channel to a first endpoint device associated with the first user.

Abstract: Systems, computer program products, and methods are described herein for communication data identification and alert generation via a machine learning framework. The present disclosure includes determining a first status of an underlying service, receiving a stream of interaction data from a first user via at least one channel, classifying an interaction via a first machine learning model, generating a first notification signal via a second machine learning model, wherein the second machine learning model may be provided, as inputs, the first status of the underlying service and an interaction pattern associated with the identity, and transmitting the first notification signal via the at least one channel to a first endpoint device associated with the first user.

Abstract: Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a “video mesh” that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity.

Abstract: Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a “video mesh” that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity.

Abstract: An architecture for writing software programs is provided. The architecture allows programmers to focus on writing software and shifts definition of entities, creation of processing rules and business logic to a special visual programming language. The special visual programming language onscreen visual cues for use by personnel without technical programming expertise. The special visual programming language may be utilized to define an entity. The defined entities may be utilized by programmers to create products that are governed by the definitions of the constituent entities included in each product. The architecture also includes a Universal Central Engine that processes products created by the programmers, identifies the constituent entities included in each product and processes those constituent entities in accordance with their definitions.

Abstract: Embodiments of the present invention provide a system for generating deployable components associated with software applications for incoming requests via an adaptive zero-trust generative artificial intelligence engine. The system is configured for monitoring one or more requests entering an entity network associated with an entity, filtering the one or more requests based on one or more dynamically changing filters, determining intent associated with the one or more requests based on filtering the one or more requests, generating multiple solutions to achieve the intent associated with the one or more requests, identifying an optimized solution from the multiple solutions via a cross validation decision tree, generating a deployable component associated with the optimized solution, and executing the deployable component via a channel.

Abstract: Embodiments of the present invention provide a system for performing multi-platform software code merging and migration using hybrid neural networks. The system is configured for identifying source files in a software code development environment, wherein each of the source files comprise software code associated with entity applications that is developed by one or more users in one or more software programming languages, translating the software code in each of the source files that is developed in the one or more software programming languages into a translated code that is in a first software programming language, merging the translated code associated with the software code in each of the source files into a unified code, wherein the unified code is in the first software programming language, automatically performing build and packaging of the unified code for deployment, and automatically deploying the packaged unified code into a software code production environment.

Abstract: Validation/authentication of a resource exchange device and/or authorization of a resource exchange event being conducted with the resource exchange device is made possible through use of a Non-Fungible Token (NFT) that is accessible via an NFT identifier encrypted and embedded within a digital image imprinted on the resource exchange device. The NFT identifier NFT identifier may be segmented and each segmented stored in different predetermined pixels of the digital image to add an additional security layer to the validation/authorization process.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: An Augmented Reality (AR)-enabled Automated Teller Machine (ATM) receives a request to dispense cash equal to amount of an AR document. The AR document comprises an AR check. The AR-enabled ATM fetches a first AR check image from a memory. The AR-enabled ATM extracts a first set of features from the first AR check image. The AR-enabled ATM receives a second AR check image from a computing device associated with the receiver. The AR-enabled ATM extracts a second set of features from the second AR check image. The AR-enabled ATM compares the first AR check image with the second AR check image. The AR-enabled ATM determines whether the first AR check image corresponds to the second AR check image. In response to determining that the first AR check image corresponds to the second AR check image, the AR-enabled ATM dispenses cash equal to the amount.

Abstract: An architecture for writing software programs is provided. The architecture allows programmers to focus on writing software and shifts definition of entities, creation of processing rules and business logic to a special visual programming language. The special visual programming language onscreen visual cues for use by personnel without technical programming expertise. The special visual programming language may be utilized to define an entity. The defined entities may be utilized by programmers to create products that are governed by the definitions of the constituent entities included in each product. The architecture also includes a Universal Central Engine that processes products created by the programmers, identifies the constituent entities included in each product and processes those constituent entities in accordance with their definitions.

Abstract: A method for operating a first data card includes receiving a first signal from at least one sensor of a first set of sensors provided at the first data card. The method continues by detecting, based on the first signal, a movement of the first data card relative to a second data card in a first direction within a pre-selected distance from the second data card, and interpreting the relative movement of the first data card in the first direction as a card pairing gesture. The method continues by establishing a peer-to-peer connection between the first data card and the second data card, in response to the card pairing gesture, and exchanging the data with the second data card over the peer-to-peer connection.

Abstract: A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards.

Abstract: A system for Augmented Reality (AR) document generation receives a request to generate an AR document with a particular amount directed to a particular receiver. The AR document comprises an AR check. The system generates a unique code for the AR check by converting a name of a sender, a name of the particular receiver, the amount, and a serial number associated with the AR check into a hexadecimal format. The system generates the AR check by taking the unique code as an input and writing the name of the sender, name of the particular receiver, the amount, and the serial number on the AR check extracted from the unique code. The system transmits an image of the AR check to a computing device associated with the particular receiver.

Abstract: An Augmented Reality (AR)-enabled Automated Teller Machine (ATM) receives a request to dispense cash equal to amount of an AR document. The AR document comprises an AR check. The AR-enabled ATM fetches a first AR check image from a memory. The AR-enabled ATM extracts a first set of features from the first AR check image. The AR-enabled ATM receives a second AR check image from a computing device associated with the receiver. The AR-enabled ATM extracts a second set of features from the second AR check image. The AR-enabled ATM compares the first AR check image with the second AR check image. The AR-enabled ATM determines whether the first AR check image corresponds to the second AR check image. In response to determining that the first AR check image corresponds to the second AR check image, the AR-enabled ATM dispenses cash equal to the amount.

Abstract: An Augmented Reality (AR)-enabled Automated Teller Machine (ATM) receives a request to dispense cash equal to amount of an AR document. The AR document comprises an AR check. The AR-enabled ATM fetches a first AR check image from a memory. The AR-enabled ATM extracts a first set of features from the first AR check image. The AR-enabled ATM receives a second AR check image from a computing device associated with the receiver. The AR-enabled ATM extracts a second set of features from the second AR check image. The AR-enabled ATM compares the first AR check image with the second AR check image. The AR-enabled ATM determines whether the first AR check image corresponds to the second AR check image. In response to determining that the first AR check image corresponds to the second AR check image, the AR-enabled ATM dispenses cash equal to the amount.

Abstract: A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards.

Abstract: A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards. The first data card subsequently detects a transfer gesture between the first and second data cards, and in response, transmits the portion of the first data file from the first data card to the second data card over the peer-to-peer connection.

Abstract: A system is provided including a first server storing a first data file for a first user, a second server storing a second data file for a second user, a first data card of the first user registered with the first server and locally storing a portion of the first data file, and a second data card of the second user registered with the second server and associated with the second data file. The first data card detects a pairing gesture between the first and second data cards, and in response, establishes a peer-to-peer connection between the data cards. The first data card subsequently detects a transfer gesture between the first and second data cards, and in response, transmits the portion of the first data file from the first data card to the second data card over the peer-to-peer connection.