Abstract: A cabin air quality monitoring system including a communications interface configured to receive snapshot information representing in-cabin air quality of a vehicle, a memory configured to store the snapshot information received by the communications interface and a processing circuitry configured to batch the snapshot information stored to the memory to form batched snapshot information, to execute, using the batched snapshot information as an input, a trained machine learning model to obtain a model output that includes cabin air filter replacement information, and to transmit, via the communications interface, the model output to computing hardware of the vehicle.