In accordance with embodiments disclosed herein, there are provided herein systems, methods, and apparatuses for implementing data collection, analysis, and a reward system for zero plastic pollution. For instance, an analysis model is provided to find key performance indices including over-saturation of plastic in a region. According to a particular embodiment, a specially configured system having: a memory to store instructions; a processor to execute instructions stored in the memory; and stored logic within the memory that, when executed by the processor, causes the processor to perform operations including: receiving data from a plurality of sources regarding geographic-based plastics usage, each source choosing a level of geographical region specificity regarding the geographic-based plastics usage, encrypting the received data, analyzing an inflow and outflow rate of plastics usage for a geographic region based on the encrypted received data, and ranking the plastics usage of each of the plurality of sources, by industry. Other related embodiments are disclosed.

Systems, methods, computing platforms, and storage media for providing image recommendations are disclosed. Exemplary implementations may: receive a set of images; access a context segment graph comprising one or more nodes; identify a subset of images related to a node in the context segment graph; receive one or more user responses for the subset of images; generate one or more models based on the user responses; receive one or more candidate images for a creative campaign; determine, using at least one model, a relatedness value and a responsiveness value for at least a portion of the one or more candidate images; and display a listing of the plurality of candidate images, wherein the listing includes, for each candidate image, a confidence score and one or more of the relatedness and responsiveness values in context to the node.

A fuel price determination system may receive transaction data identifying purchases, made with transaction cards and mobile transaction card applications of client devices, of fuel at fuel stations. The fuel price determination system may receive location data identifying locations associated with users of the client devices and the transaction cards, and user history data associated with prior purchases of fuel at fuel stations by the users. The fuel price determination system may process the transaction data, location data, and user history data, with a machine learning model, to determine fuel prices at the fuel stations. The fuel price determination system may determine a ranked list of particular fuel stations in a geographical area based on the fuel prices and populate, based on the location data and the ranked list, a map to identify the particular fuel stations and the fuel prices at the particular fuel stations.

One or more computer processors create a user-event localization model for an identified remote audience member in a plurality of identified remote audience members for an event. The one or more computer processors generate a virtual audience member based the identified remote audience member utilizing a trained generated adversarial network and one or more user preferences. The one or more computer processors present the generated virtual audience member in a location associated with the event. The one or more computer processors dynamically adjust a presented virtual audience member responsive to one or more event occurrences utilizing the created user-event localization model.

A method, computer system, and computer program product for providing spatial weather map data to the visually impaired are provided. The embodiments may include receiving a weather map image that contains weather information and a subject of interest, wherein the subject of interest comprises a user current location, a business location, or an asset location. The embodiments may also include receiving a request from a user for current time, historical or forecast data depicted in the weather map and a request for a geo-location of the subject of interest. The embodiments may further include generating sounds corresponding with the requested weather map data, wherein the generated sounds appear to the user to originate in a particular direction and at a particular distance from the subject of interest, wherein the apparent location of the sounds correspond with a weather map feature including the location of approaching or surrounding weather.

Systems and methods disclosed herein provide automatic expense categorization of transactions or expenditures based on a machine learning (ML) model trained using anonymized transactional data for expenditures that are stored in a public blockchain. The anonymized transactional data for the expenditure and the expense category, may be distributed throughout the blockchain network and recorded in the blockchain. In some implementations, an expenditure may be submitted to the blockchain network for expense categorization. The transactional data for the expenditure may be anonymized to remove confidential and personal identifying information (PII) before it is distributed throughout the blockchain network. Each participating node of the blockchain network may utilize the ML model to identify an expense category for the expenditure. The participating nodes may provide a consensus mechanism in order to arrive at a shared understanding of how to categorize the expenditure.

Systems, non-transitory machine-readable storage media, and computer-implemented methods are provided for automated scheduling of vehicle repair reinspections. In general, one aspect disclosed features a computer-implemented method comprising: obtaining an appraisal schedule that includes a plurality of appraisal appointments for appraisers, wherein each appointment identifies one of the appraisers, a vehicle repair to be appraised; receiving a reinspection notification that identifies a vehicle repair to be reinspected, a vehicle repair facility, and a duration for the reinspection; identifying availabilities in the appraisal schedule; selecting one of the availabilities in the appraisal schedule according to a predetermined assignment profile; modifying the appraisal schedule to schedule the reinspection during the selected availability, and sending an electronic message to an electronic device associated with the corresponding vehicle repair facility, wherein the electronic message identifies the vehicle repair to be reinspected, and the time of selected availability for the reinspection.

The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

In some implementations, a system may identify one or more account identifiers associated with a user identifier. Each account identifier may be associated with one or more categories each representing a type of interaction of one or more interactions associated with the account identifier. A respective interaction amount may be associated with each interaction. The system may determine, for each category, a total category amount that is a sum of interaction amounts for interactions in a particular category occurring within a particular time frame. The system may transmit user interface (UI) data associated with a multi-tab UI element including a plurality of tabs corresponding to the plurality of categories. Each tab may be associated with benefits information related to a category corresponding to that tab. A first tab, corresponding to a category having a highest total category amount, may be presented in a particular position in the multi-tab UI element.

Method and system for localizing an element present in a piece of content having a plurality of elements. A cost of localizing an element with respect to each of one or more localization sources is first computed. At least one criterion based on which a localization source for localizing the element is to be determined is obtained. A localization source for to the element is then selected based on an assessment with respect to the at least one criterion. The element of the content is then localized using the selected localization source.