Abstract: A system for providing temporary, transportable cellular communications networks is disclosed. The system includes at least one mobile base station and a control system. The mobile base station can include an aerial vehicular base station with a frame and propellers mounted on the frame that enable flight of the aerial vehicular base station while the control system is configured to control the flight path and functioning of the aerial vehicular base station. The aerial vehicular base station includes hardware and software components for providing cellular network coverage for short ranges. The control system determines the safe flight path for the aerial vehicular base station to reach a service location to provide cellular network coverage. The aerial vehicular base station identifies the closest base stations and available spectrum at the service location to provide communication services for the user equipment at the service location.

Abstract: A system for providing temporary, transportable cellular communications networks is disclosed. The system includes at least one mobile base station and a control system. The mobile base station can include an aerial vehicular base station with a frame and propellers mounted on the frame that enable flight of the aerial vehicular base station while the control system is configured to control the flight path and functioning of the aerial vehicular base station. The aerial vehicular base station includes hardware and software components for providing cellular network coverage for short ranges. The control system determines the safe flight path for the aerial vehicular base station to reach a service location to provide cellular network coverage. The aerial vehicular base station identifies the closest base stations and available spectrum at the service location to provide communication services for the user equipment at the service location.

Abstract: A method for providing a real-time purchase recommendation includes receiving customer profile data associated with a customer and authorization request data associated with a request to authorize an attempted purchasing using a financial account associated with the customer. The method includes determining attempted purchase data including an identity of a merchant, a merchant location, and a purchase category associated with the attempted purchase. The method includes generating a sequential purchase recommendation based on the attempted purchase data, wherein the sequential purchase recommendation is a real-time recommendation for one or more goods or services for future purchase sequentially following the attempted purchase. The method further includes transmitting a message including the sequential purchase recommendation to a customer computing device associated with the customer.

Abstract: A solution generation and planning system uses Artificial Intelligence (AI) techniques such as machine learning (ML) data models, predictive analytics and natural language processing (NLP) techniques for generating outputs to aid decision making in the domain of public infrastructure development. The problem statement is analyzed using the NLP techniques to generate word tokens which are employed in identifying issues that aid in selection of appropriate data sources from a plurality of discrete data sources. In addition, data models trained to produce probable solutions for the issue are also selected. The probable solutions are presented to the user who selects one of the probable solutions for implementation. Feedback from the implementation is also incorporated so that the data models are updated per the latest information obtained from the implementation of the user-selected solution.

Abstract: A method for providing a real-time purchase recommendation includes receiving customer profile data associated with a customer and authorization request data associated with a request to authorize an attempted purchasing using a financial account associated with the customer. The method includes determining attempted purchase data including an identity of a merchant, a merchant location, and a purchase category associated with the attempted purchase. The method includes generating a sequential purchase recommendation based on the attempted purchase data, wherein the sequential purchase recommendation is a real-time recommendation for one or more goods or services for future purchase sequentially following the attempted purchase. The method further includes transmitting a message including the sequential purchase recommendation to a customer computing device associated with the customer.

Abstract: A method for providing a real-time purchase recommendation includes receiving customer profile data associated with a customer and authorization request data associated with a request to authorize an attempted purchasing using a financial account associated with the customer. The method includes determining attempted purchase data including an identity of a merchant, a merchant location, and a purchase category associated with the attempted purchase. The method includes generating a sequential purchase recommendation based on the attempted purchase data, wherein the sequential purchase recommendation is a real-time recommendation for one or more goods or services for future purchase sequentially following the attempted purchase. The method further includes transmitting a message including the sequential purchase recommendation to a customer computing device associated with the customer.

Abstract: A method for providing a real-time purchase recommendation includes receiving customer profile data associated with a customer and authorization request data associated with a request to authorize an attempted purchasing using a financial account associated with the customer. The method includes determining attempted purchase data including an identity of a merchant, a merchant location, and a purchase category associated with the attempted purchase. The method includes generating a sequential purchase recommendation based on the attempted purchase data, wherein the sequential purchase recommendation is a real-time recommendation for one or more goods or services for future purchase sequentially following the attempted purchase. The method further includes transmitting a message including the sequential purchase recommendation to a customer computing device associated with the customer.

Abstract: A solution generation and planning system uses Artificial Intelligence (AI) techniques such as machine learning (ML) data models, predictive analytics and natural language processing (NLP) techniques for generating outputs to aid decision making in the domain of public infrastructure development. The problem statement is analyzed using the NLP techniques to generate word tokens which are employed in identifying issues that aid in selection of appropriate data sources from a plurality of discrete data sources. In addition, data models trained to produce probable solutions for the issue are also selected. The probable solutions are presented to the user who selects one of the probable solutions for implementation. Feedback from the implementation is also incorporated so that the data models are updated per the latest information obtained from the implementation of the user-selected solution.