Bank of America Corporation

Sean Michael Gutman

Joseph Benjamin Castinado

Manu Jacob Kurian

Sasidhar Purushothaman

Suki Ramasamy

William P Jacobson

Carl R Frederick

Tracy Beth Greene

Emily Paige Bosin

James McCormack

Sandeep Kumar Chauhan

Phillip Wade Mork

A system includes a device, a database, and a processor. The device receives a social network post including text and an image depicting a customizable product. The database stores a purchase history of a user of the device. In response to determining that the device displayed the post, the processor determines, using a machine learning algorithm, that the image depicts the product and determines a set of retailers offering the product. The processor predicts, based in part on the purchase history, a customization for the customizable feature of the product that the user prefers and a retailer of the set of retailers offering the customized product. The processor then sends a recommendation of the customized product to the user, including a link to purchase the product from the predicted retailer. Then, in response to receiving a purchase request from the user, the processor completes a purchase of the customized product.

Systems and methods for a social media purchasing tool

Aspects of the disclosure relate to multicomputer systems and methods for data authentication and event execution using a blockchain approach. Any full node computing device in a network, including a data authentication and event execution computing platform, may receive data from one or more sources. The computing platform may verify the authenticity of at least one aspect of the received data. Once the authenticity of the data has been verified, the computing platform may generate a new block of a user's blockchain by cryptographically encrypting the received data, may add the new block to the user's blockchain, and may store the updated blockchain. The platform may then transmit an indication that the received data has been authenticated to the data source. In addition, the computing platform may generate a command configured to execute an action associated with the new block and may transmit the command to the data source.

Multicomputer processing for data authentication and event execution using a blockchain approach

Embodiments of the invention are directed to a system, method, or computer program product for providing a platform for integration into applications for user activity interaction for cross entity and third party reward integration. In this way, the system may integrate an activity platform that provides applications or integration into applications to generate an activities network. Furthermore, the system may monitor the user utilization the activities provide triggered responses based on the activities completed. As such, the system may intervene within a known application or third party to provide triggered responses. In some embodiments, the triggered response may be a reward or status built physical alteration to an application or resource distribution item.

Third party activity performance cross entity integration

A natural language processing system that includes an artificial intelligence (AI) engine and a tagging engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to identify observed concepts within the audio file. The tagging engine is further configured to compare the observed concepts to the first set of concepts, to determine one or more observed concepts matches concepts linked with AI-defined tags, and to modify metadata for the audio file to include AI-defined tags.

Dynamic natural language processing tagging

Multicomputer processing for data authentication using a blockchain approach

A natural language processing system that includes an artificial intelligence (AI) engine and a tag management engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tag management engine is configured to receive an audio file, identify tags linked with the audio file, to determine an access frequency for the audio file within a predetermined time period, and to adjust the activity level of the tags based on the access frequency. The tag management engine is further configured to remove tags from the set of tags with an activity level that is less than a purge threshold.

Resource management using natural language processing tags

Embodiments of the present invention provide a system for location-based trafficking for resource accumulation. The system may monitor location data of a mobile device of a user to determine when the user is within a predetermined distance from a specific geographical location of a resource. The system may then automatically transmit a token alert across a wireless network to the mobile device, activating a resource accumulation application to cause a user interface of the mobile device to display an augmented reality of a camera display that includes a virtual token. In some embodiments, the system determines that some advanced interaction has occurred between the user and a merchant associated with the geographical location of the resource and, in response, provides additional virtual tokens or improves the benefit to the user for one or more virtual tokens.

System and method for location-based trafficking for resource accumulation

A natural language processing system that includes an artificial intelligence (AI) engine, a tagging engine, and a resource allocation engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to modify metadata for the audio file to include AI-defined tags. The resource allocation engine is configured to identify a storage location from among the plurality of storage devices based on tags associated with the audio file and send the audio file to the identified storage location.

Dynamic memory allocation using natural language processing tags

Systems, apparatus are defined that provide for determining optimal resource channels for delivering resources using contextual and prior usage data analysis. As such, the present invention is able to determine and communicate to the resource presenter the optimal resource channel, in which optimal is defined as being most beneficial to the resource presenter and/or resource processor. In this regard, the present invention takes into account the efficiency (i.e., time to process), cost, security, usage, and other benefits associated with the resource presenter and/or resource processor in determining which resource channel is optimal for any given resource delivery event.

Growing community of inventors

Waxhaw, NC, United States of America

Sean Michael Gutman