Aircraft integrated cabin sentience neural network

A non-transitory machine-readable storage medium that provides instructions that, when executed by a processor, are configurable to cause the processor to perform an operation comprising:

• receiving from a sensor communicatively coupled to the processor, data relating to a behavior of an occupant positioned in an area;
• processing the data into a sequence;
• classifying, the sequence of data into time windows;
• performing predictions based on the classification of the sequence of data into the time windows;
• identifying a requirement of the occupant in the area based on the predictions;
• and
• outputting a recommendation to optimize a workload to meet the requirement of the occupant in the area.

A computing system comprising:

• a non-transitory machine-readable storage medium that stores software;
• and
• a processor, coupled to the non-transitory machine-readable storage medium, the processor configured to execute the software that implements a large language model (LLM) grounding service and that is configured to perform operations comprising:
• receiving from a sensor communicatively coupled to the processor, data relating to a behavior of an occupant positioned in an area;
• processing the data into a sequence;
• classifying, the sequence of data into time windows;
• performing predictions based on the classification of the sequence of data into the time windows;
• identifying a requirement of the occupant in the area based on the predictions;
• and
• outputting a recommendation to optimize a workload to meet the requirement of the occupant in the area.