Abstract: A rating may be received for a user based on a stay at a lodging establishment, the rating comprising a positive attribute and a negative attribute. The rating may be based on data entered by a user of the lodging establishment and programmatically generated data. An overall rating may be generated based on the rating and a plurality of prior ratings for the user. A request to reserve a second stay at the lodging establishment may be received. A price for the second stay at the lodging establishment may be received. A reduced price for the second stay may be determined based on the overall rating for the user being above a threshold rating. An indication of the reduced price may be outputted for display. A dwelling unit in the lodging establishment for the second stay may be reserved at the reduced price.

Abstract: A home system can include a central control unit, which can be paired with a plurality of accessory devices including a client device. The client device can receive an instruction signal from a contactless card. An application of the client device can process the instruction signal and generate an event signal. The client device can transmit the event signal to the central control unit and the central control unit can transmit a device signal to one or more of the accessory devices. The device signal can instruct the one or more accessory devices to perform one or more tasks.

Abstract: Systems and methods for artificial intelligence (AI)-based systems and methods for conditional electronic processing are provided. An example method includes receiving real time data from one or more data sources associated with one or more connected smart devices; continuously evaluating the real time data to determine whether the one or more transaction conditions is met; upon determining that the one or more transaction conditions has been met, utilizing prioritized parameters to determine to which users an alert of a transaction request is broadcast; broadcasting the alert of the transaction request via a user application; transmitting, via a push notification gateway, a push notification to the user application on a user device; and establishing, via a network, a secure connection between the user device and an AI engine for executing the transaction request.

Abstract: A predictive model system may include an application comprising instructions for execution on a device including one or more processors coupled to memory, and one or more servers in data communication with the application. The one or more servers may be configured to receive a first set of data which may be updated to include transaction data and at least one selected from the group of mileage rental information; create a predictive model based on the first set of data; transmit, to the application, one or more requests including a second set of data, the second set of data comprising at least one selected from the group of location information, date, time, name, and age of a user; update the predictive model based on the received second set of data received; generate a dynamic rate based on the updated predictive model; and transmit, to the application, the dynamic rate.

Abstract: Embodiments disclosed herein generally related to a system and method of authenticating a user with a third party server. In one embodiment, a method is disclosed herein. A computing system receives, from a remote client device of the user, a token. The token includes personal identification information and a digitized file of a biometric captured by a biometric scanner. The computing system identifies via the personal identification information that the user has a user account. The computing system queries a database with the personal identification information and the digitized file to determine whether the biometric matches a stored biometric in the user account. Upon determining that the biometric matches the stored biometric, the computing system generates a message to be transmitted to the third party server that authenticates the user. The computing system transmits the message to the third party server.

Abstract: A computing resource of a cloud computing environment receives, from customers in a customer population, requests to enroll in group-based subscriptions provided by third-party providers. The requests include customer preferences associated with the customers. The computing resource determines customer account attributes for customer accounts, and determines, using a customer matching model, scores for the customers based on the customer preferences and the customer account attributes. The scores predict a successful matching among the customers in the customer population. The computing resource assigns a first subset of the customers in the customer population to a first group of customers based on the scores, enrolls the first group of customers in a first account for a first group-based subscription provided by a first third-party provider, and allocates a payment for the first group-based subscription among a first group of customer accounts associated with customers in the first group of customers.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.

Abstract: A device may receive audio data based on a capturing of sounds associated with a structure. The device may obtain a model associated with the structure. The model may have been trained to receive the audio data as input, determine a score that identifies a likelihood that a sound is present in the audio data, and identify the sound based on the score. The device may determine at least one parameter associated with the sound. The device may generate a metric based on the at least one parameter associated with the sound, and perform an action based on the metric.

Abstract: In a method of controlling an operational parameter of a smart apparatus, a user processing device receives user-defined criteria for changing the operational parameter based on a financial parameter associated with an account. The user processing device obtains a value for the financial parameter from a financial institution server a value and determines whether the user-defined criteria have been met. Responsive to a determination that the user-defined criteria have been met, the user processing device transmits to the smart apparatus a first instruction to change the operational parameter. The user processing device may then receive an updated value for the financial parameter from the financial institution server and determine whether the user-defined criteria are no longer being met. Responsive to a determination that the user-defined criteria are no longer being met, the user processing device transmits to the smart apparatus a second instruction to change the operational parameter.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

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 predictive model system may include an application comprising instructions for execution on a device including one or more processors coupled to memory, and one or more servers in data communication with the application. The one or more servers may be configured to receive a first set of data which may be updated to include transaction data and at least one selected from the group of mileage rental information; create a predictive model based on the first set of data; transmit, to the application, one or more requests including a second set of data, the second set of data comprising at least one selected from the group of location information, date, time, name, and age of a user; update the predictive model based on the received second set of data received; generate a dynamic rate based on the updated predictive model; and transmit, to the application, the dynamic rate.

Abstract: A predictive model system may include an application comprising instructions for execution on a device including one or more processors coupled to memory, and one or more servers in data communication with the application. The one or more servers may be configured to receive a first set of data which may be updated to include transaction data and at least one selected from the group of mileage rental information; create a predictive model based on the first set of data; transmit, to the application, one or more requests including a second set of data, the second set of data comprising at least one selected from the group of location information, date, time, name, and age of a user; update the predictive model based on the received second set of data received; generate a dynamic rate based on the updated predictive model; and transmit, to the application, the dynamic rate.

Abstract: Various embodiments are directed to a system for automatically and dynamically facilitating various transactions via a hyperlocal marketplace. A smart home system, for example, may track all perishable items within the home. Any items expected to have a surplus may be offered for sale to other homes in the hyperlocal marketplace. Any items expected to have a shortage may be identified and made known to the other homes in the hyperlocal marketplace. Bids may be made on the shortage items that may be offered for sale by the marketplace.

Abstract: In a method of controlling account user access to transaction information for a joint account, a set of control criteria is stored in a control database. Information for a new transaction is received and stored in a transaction information database. An information limitation request to prevent access to the transaction information by a second account user for a withholding time interval is received from a first account user. An access limitation record including identification of the second account user and the withholding time interval is stored in the information control database. Upon receiving from a second account user a request for account information including the transaction information, a determination may be made as to whether the transaction information should be withheld from the second account user. Responsive to a determination that the transaction information should be withheld, a response excluding the transaction information is transmitted to the second user device.

Abstract: Embodiments disclosed herein generally related to a system and method of authenticating a user with a third party server. In one embodiment, a method is disclosed herein. A computing system receives, from a remote client device of the user, a token. The token includes personal identification information and a digitized file of a biometric captured by a biometric scanner. The computing system identifies via the personal identification information that the user has a user account. The computing system queries a database with the personal identification information and the digitized file to determine whether the biometric matches a stored biometric in the user account. Upon determining that the biometric matches the stored biometric, the computing system generates a message to be transmitted to the third party server that authenticates the user. The computing system transmits the message to the third party server.

Abstract: Various embodiments are generally directed to techniques to enable use of a transaction card of a user device to perform transactions. Embodiments may include method, techniques, and circuitry to cause a transaction card to extend from a user device to be used to perform the transactions. Further, the transaction card may retract into the housing the user device when not in use.

Abstract: A rating may be received for a user based on a stay at a lodging establishment, the rating comprising a positive attribute and a negative attribute. The rating may be based on data entered by a user of the lodging establishment and programmatically generated data. An overall rating may be generated based on the rating and a plurality of prior ratings for the user. A request to reserve a second stay at the lodging establishment may be received. A price for the second stay at the lodging establishment may be received. A reduced price for the second stay may be determined based on the overall rating for the user being above a threshold rating. An indication of the reduced price may be outputted for display. A dwelling unit in the lodging establishment for the second stay may be reserved at the reduced price.

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.