Artificial intelligence for flood monitoring and remediation provider notification

A computer-implemented method for flood monitoring and remediation service provider notification, the method comprising:

• periodically polling a weather server to request weather data,
• in response to the periodic polling, receiving, from the weather server, the weather data,
• receiving an electrical power interruption alarm from a sensor,
• detecting a flood event in a structure based upon (i) the periodically received weather data, and (ii) the electrical power interruption alarm,
• integrating the received weather data, electrical power interruption alarm, and information associated with the structure to generate a transmission dataset,
• generating a prompt for flood remediation services, the prompt including information about the flood event,
• transmitting the transmission dataset and the prompt for flood remediation services to a machine learning (ML) chatbot to cause the ML chatbot to:
• request flood cleanup from one or more remediation service providers,
• receive cost estimates from the one or more remediation service providers, and
• receive schedule availability from the one or more remediation service providers,
• receiving, from the ML chatbot, the cost estimates and the schedule availability, and
• communicating the cost estimates and/or the schedule availability to a user associated with the structure.

A computer-readable storage medium storing non-transitory computer-readable instructions for flood monitoring and remediation service provider notification, wherein the instructions when executed on one or more processors cause the one or more processors to:

• periodically poll a weather server to request weather data,
• in response to the periodic polling, receiving, from the weather server, the weather data,
• receive an electrical power interruption alarm from a sensor,
• detect a flood event in a structure based upon (i) the periodically received weather data, and (ii) the electrical power interruption alarm,
• integrate the received weather data, electrical power interruption alarm, and information associated with the structure to generate a transmission dataset,
• generate a prompt for flood remediation services, the prompt including information about the flood event,
• transmit the transmission dataset and the prompt for flood remediation services to a machine learning (ML) chatbot to cause the ML chatbot to:
• request flood cleanup from one or more remediation service providers,
• receive cost estimates from the one or more remediation service providers, and
• receive schedule availability from the one or more remediation service providers,
• receive, from the ML chatbot, the cost estimates and the schedule availability, and
• communicate the cost estimates and/or the schedule availability to a user associated with the structure.