Artificial Intelligence for Sump Pump Monitoring and Service Provider Notification

A computer-implemented method for sump pump monitoring and repair service provider notification, the method comprising:

• receiving location and operating data indicative of an operating status of the sump pump from one or more sump pump sensors, wherein the one or more sump pump sensors are configured to detect water or power interruption, wherein the operating status corresponds to a water detection or power interruption event;
• automatically polling a weather server to obtain weather data pertaining to the location of the sump pump;
• integrating the operating data and weather data to generate a dataset;
• transmitting the dataset and a prompt for sump pump fault detection to a machine learning (ML) chatbot to cause an ML model to generate a natural language sump pump fault detection analysis from the dataset;
• and
• presenting the natural language fault detection analysis.

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

• receive location and operating data indicative of an operating status of the sump pump from one or more sump pump sensors, wherein the one or more sump pump sensors are configured to detect water or power interruption, wherein the operating status corresponds to a water detection or power interruption event;
• automatically poll a weather server to obtain weather data pertaining to the location of the sump pump;
• integrate the operating data and weather data to generate a dataset;
• transmit the dataset and a prompt for sump pump fault detection to a machine learning (ML) chatbot to cause an ML model to generate a natural language sump pump fault detection analysis from the dataset;
• and
• present the natural language fault detection analysis.