Personalized laundry appliance

A system for generating a setting for laundry appliance that treats a load of laundry items, the system comprising:

• a sensor group associated with the laundry appliance, the sensor group comprising one or more sensors that capture sensor data for one or more laundry items in the load, wherein the sensor group includes a tactile surface sensor that senses a surface of one or more laundry items through contact with the laundry item when the laundry item is pressed against the tactile surface sensor during loading of the laundry item into the laundry appliance, and wherein the tactile surface sensor is located on a front lip of the laundry appliance and the laundry item makes contact with and is sensed by the tactile surface sensor when moving across the front lip of the laundry appliance into a chamber of the laundry appliance;
• a machine learning model that receives the sensor data and determines, based on the sensor data, a treatment attribute related to the treatment of the load by the laundry appliance, wherein the sensor data includes surface characteristics of the laundry item captured by the tactile surface sensor;
• and
• a controller that generates a setting for the laundry appliance based on the treatment attribute determined by the machine learning model and controls the laundry appliance to treat the load according to the generated setting,
• wherein the laundry appliance is a dryer for drying laundry items, and the controller further obtains data from a washer that has previously treated the laundry items, including washing the laundry items, and the setting used by the dryer for drying the laundry items is generated further based on the data from the washer used to washing the laundry items.