Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: A device may configure a browser to permit cash payments for online transactions. The device may monitor a browser session of the browser. The device may detect, during the browser session, navigation of the browser to a transaction page of a website. The transaction page may be configured to facilitate an online transaction with the website. The device may determine, based on detecting the navigation of the browser to the transaction page, that a cash payment is to be provided. The device may cause a validation code to be generated. The device may cause, based on the validation code being processed, a virtual transaction card to be generated. The device may facilitate, using virtual card information associated with the virtual transaction card, execution of the online transaction.

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: A device may configure a browser to permit cash payments for online transactions. The device may monitor a browser session of the browser. The device may detect, during the browser session, navigation of the browser to a transaction page of a website. The transaction page may be configured to facilitate an online transaction with the website. The device may determine, based on detecting the navigation of the browser to the transaction page, that a cash payment is to be provided. The device may cause a validation code to be generated. The device may cause, based on the validation code being processed, a virtual transaction card to be generated. The device may facilitate, using virtual card information associated with the virtual transaction card, execution of the online transaction.

Abstract: A transaction card receives sound waves that represent a user command, where the user command identifies one or more transaction restrictions of the transaction card. The transaction card converts the sound waves to a digital signal and identifies, based on an analysis of the digital signal, user command data that identifies the user command. The transaction card sets, based on identifying the user command data, one or more transaction restriction values for the one or more transaction restrictions. The transaction card receives transaction metadata associated with a transaction and determines whether the transaction is compliant with the one or more transaction restrictions. The transaction card causes, based on determining whether the transaction is compliant with the one or more transaction restrictions, the transaction to be processed by a server device, or to be declined.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: A device may configure a browser to permit cash payments for online transactions. The device may monitor a browser session of the browser. The device may detect, during the browser session, navigation of the browser to a transaction page of a website. The transaction page may be configured to facilitate an online transaction with the website. The device may determine, based on detecting the navigation of the browser to the transaction page, that a cash payment is to be provided. The device may cause a validation code to be generated. The device may cause, based on the validation code being processed, a virtual transaction card to be generated. The device may facilitate, using virtual card information associated with the virtual transaction card, execution of the online transaction.

Abstract: A transaction card receives sound waves that represent a user command, where the user command identifies one or more transaction restrictions of the transaction card. The transaction card converts the sound waves to a digital signal and identifies, based on an analysis of the digital signal, user command data that identifies the user command. The transaction card sets, based on identifying the user command data, one or more transaction restriction values for the one or more transaction restrictions. The transaction card receives transaction metadata associated with a transaction and determines whether the transaction is compliant with the one or more transaction restrictions. The transaction card causes, based on determining whether the transaction is compliant with the one or more transaction restrictions, the transaction to be processed by a server device, or to be declined.

Abstract: A computer-implemented method for graphical user interface goal vision development may include receiving, via one or more processors, a first user financial goal of a user from a user device associated with the user; obtaining, via the one or more processors, at least one first user digital image; associating, via the one or more processors, the first user financial goal and the at least one first user digital image; obtaining, via the one or more processors, first user specific data relevant to the first user financial goal; transmitting, via the one or more processors, a digital visualization board indicative of the associated first user financial goal and the at least one first user digital image to the user device; determining, via the one or more processors, activity associated with the first user financial goal based on the first user specific data, by processing data including the obtained first user specific data using a trained machine learning model; and transmitting, via the one or more processors,

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.

Abstract: A computer-implemented method for graphical user interface goal vision development may include receiving, via one or more processors, a first user financial goal of a user from a user device associated with the user; obtaining, via the one or more processors, at least one first user digital image; associating, via the one or more processors, the first user financial goal and the at least one first user digital image; obtaining, via the one or more processors, first user specific data relevant to the first user financial goal; transmitting, via the one or more processors, a digital visualization board indicative of the associated first user financial goal and the at least one first user digital image to the user device; determining, via the one or more processors, activity associated with the first user financial goal based on the first user specific data, by processing data including the obtained first user specific data using a trained machine learning model; and transmitting, via the one or more processors,

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.

Abstract: A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples play include accessing a financial services platform based on detecting the button press. The financial services platform may he associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.