Abstract: A computer system can automatically populate graphical elements on a user interface. The system can receive sets of information from a plurality of third-party server operators. The system can create, for each set of information, a graphical element for the user interface. The system can collect, via the user interface, a first set of data from a plurality of users. The system can train a machine-learning model to determine at least one pattern in activities using the first set of data. The system can collect, via the user interface, a second set of data from a specific user. The system can apply the machine-learning model to the second set of data to predict a pattern in activities associated with the specific user. The system can automatically populate at least one graphical element for the user interface based on the pattern in activities associated with the specific user.

Abstract: A computer-implemented method includes generating an interactive channel by a first party to provide a plurality of guided options to a second party. Additionally, the method includes receiving a request, via the interactive channel, from the second party and determining an intent of the request from the second party by a machine-learning algorithm. Further, the method includes generating an insight based on the determined intent of the request and a user profile of the second party and transmitting the insight, via the interactive channel, to the second party.

Abstract: A computer-implemented method includes generating an interactive channel by a first party to provide a plurality of guided options to a second party. Additionally, the method includes receiving a request, via the interactive channel, from the second party and determining an intent of the request from the second party by a machine-learning algorithm. Further, the method includes generating an insight based on the determined intent of the request and a user profile of the second party and transmitting the insight, via the interactive channel, to the second party.

Abstract: A method includes generating a static page of a graphical user interface. The method also includes receiving a selection of a graphical object by a user to display a drawer page and generating the drawer page. The drawer page is overlaid on the portion of the static page. The drawer page includes a drawer bar that is interactable by the user to adjust a drawer page size and a static page size based on a position of the drawer bar. Additionally, the method includes displaying the static page and the drawer page of the graphical user interface. Upon display, the drawer bar is positioned at a default position based on historical data associated with the drawer bar.

Abstract: A method includes generating a static page of a graphical user interface including a first set of interactive elements including a plurality of resource shortcuts, a plurality of account boxes, and a graphical object selectable by a user to display a drawer page that overlays at least a portion of the static page. The method also includes receiving a selection of the graphical object and generating the drawer page. The drawer page is overlaid on the portion of the static page. The drawer page includes a drawer bar that is interactable by the user to adjust a drawer page size and a static page size based on a position of the drawer bar. Additionally, the method includes displaying the static page and the drawer page of the graphical user interface. Upon display, the drawer bar is positioned at a default position based on historical data associated with the drawer bar.

Abstract: A system and method are described for personalizing a chat bot for a user. The system and method include receiving user authentication, retrieving a user profile, determining a user personality using an AI engine configured to predict the user's personality, receiving indication for a chat bot response, determining content and personality of the chat bot response based on the user profile, sending the chat bot response, receiving a user reply, determining user sentiment from the user reply, and recording user sentiment, response, and reply in the user profile. The system and method may further include providing the user with a predetermined personality for the chat bot.

Abstract: A system is provided that can provide a virtual assistant that can receive inputs from a user and can provide responses to the user. The system can perform natural language processing on the inputs to process the inputs into inputs that are comprehendible by the virtual assistant. Additionally, the system can determine the live agent that can be best suited to assist the user based on the processed inputs. The system can connect the user and the live agent. The virtual assistant can facilitate the connection by providing information to the user and to the live agent.

Abstract: A method includes generating a static page of a graphical user interface including a first set of interactive elements including a plurality of resource shortcuts, a plurality of account boxes, and a graphical object selectable by a user to display a drawer page that overlays at least a portion of the static page. The method also includes receiving a selection of the graphical object and generating the drawer page. The drawer page is overlaid on the portion of the static page. The drawer page includes a drawer bar that is interactable by the user to adjust a drawer page size and a static page size based on a position of the drawer bar. Additionally, the method includes displaying the static page and the drawer page of the graphical user interface. Upon display, the drawer bar is positioned at a default position based on historical data associated with the drawer bar.

Abstract: A process for receiving, through a virtual assistant application, a first modality input related to a transaction profile. The process may involve identifying utterances from the first modality input. The process may further involve adjust a transaction service schema based on utterances identified from the first modality input and responding, through the virtual assistant application, with a first output derived from the transaction service schema. The process may further involve receiving, through the virtual assistant application, a second modality input related to the transaction profile. The process may then involve identifying utterances from the second modality input. The process may then involve adjusting the transaction service schema based on utterances identified from the second modality input. The process may conclude with responding, through the virtual assistant application, with a second output derived from the transaction service schema.

Abstract: A computer system can automatically populate graphical elements on a user interface. The system can receive sets of information from a plurality of third-party server operators. The system can create, for each set of information, a graphical element for the user interface. The system can collect, via the user interface, a first set of data from a plurality of users. The system can train a machine-learning model to determine at least one pattern in activities using the first set of data. The system can collect, via the user interface, a second set of data from a specific user. The system can apply the machine-learning model to the second set of data to predict a pattern in activities associated with the specific user. The system can automatically populate at least one graphical element for the user interface based on the pattern in activities associated with the specific user.

Abstract: A process of receiving, through a virtual assistant application, a request made by a user to transfer funds from a user account. The process may involve requesting, through the virtual assistant application, that the user identify a user account from which to transfer the funds and identify a receiving account to which the funds are transferred. The process may further involve attempting to transfer the funds from the user account to the receiving account and reporting, through the virtual assistant application, a result of an attempted transfer of the funds.

Abstract: A computer-implemented method includes generating an interactive channel by a first party to provide a plurality of guided options to a second party. Additionally, the method includes receiving a request, via the interactive channel, from the second party and determining an intent of the request from the second party by a machine-learning algorithm. Further, the method includes generating an insight based on the determined intent of the request and a user profile of the second party and transmitting the insight, via the interactive channel, to the second party.

Abstract: A method includes receiving a notification of the gesture from a sensing device, receiving an input from a user to select a banking transaction, and determining an intent of the gesture from the sensing device. Additionally, the method includes altering the banking transaction based on the input of the user and the intent of the gesture from the sensing device. The method further includes transmitting a request separate from the banking transaction based on the intent of the gesture.

Abstract: A system is provided that can provide a virtual assistant that can receive inputs from a user and can provide responses to the user. The system can perform natural language processing on the inputs to process the inputs into inputs that are comprehendible by the virtual assistant. The system can predict, based on the inputs, at least one objective of the user. The at least one objective can include a first objective for communication with a live agent and the at least one objective can include a second objective for a purpose for the communication with the live agent. Additionally, the system can determine the live agent that can be best suited to assist the user based on the second objective. The system can connect the user and the live agent. The virtual assistant can facilitate the connection by providing information to the user and to the live agent.

Abstract: A system described herein can notify a user of promotional offers based on a location of the user. For example, the system can include a geolocation device positionable to track the location of the user. The system can also include a processor and a memory that includes instructions executable by the processor for causing the processor to perform operations. The operations can include receiving a promotional offer associated with a promotional retailer. The operations can also include tracking a user based on a location of the geolocation device. Further, the operations can include detecting the user in a vicinity of the promotional retailer. The operations can also include notifying the user of the promotional offer associated with the retailer.

Abstract: A computer-implemented method includes receiving a request to initiate a modified security profile for a payment card. Additionally, the method may involve initiating the modified security profile for the payment card. The method may further involve receiving a request from a point of sale device to authorize a transaction by the payment card with the modified security profile. Moreover, the method may involve determining the transaction is not authorized by the modified security profile. Further, the method may involve transmitting a notification to the point of sales device to reject the transaction.

Abstract: A method includes receiving a notification of the gesture from a sensing device, receiving an input from a user to select a banking transaction, and determining an intent of the gesture from the sensing device. Additionally, the method includes altering the banking transaction based on the input of the user and the intent of the gesture from the sensing device. The method further includes transmitting a request separate from the banking transaction based on the intent of the gesture.

Abstract: A stirring device for stirring a particulate material and a grinding media in a grinding mill includes one or more protective elements that extend outwardly from a body to deflect said particulate material and said grinding media from the body.

Abstract: A stirring device for stirring a particulate material and a grinding media in a grinding mill includes one or more protective elements that extend outwardly from a body to deflect said particulate material and said grinding media from the body.

Abstract: A stirring device for stirring a particulate material and a grinding media in a grinding mill includes one or more protective elements that extend outwardly from a body to deflect the particulate material and the grinding media from the body to minimize contact of the mixture of the particulate material and the grinding media against the body and to promote contact between the particulate material and the grinding media.