Field operations framework

This invention describes a way to automatically analyze written notes from on-site work, like maintenance or inspections. It first uses a set of rules to identify important events, specifically designed to ignore things that didn't happen or might happen in the future. If the rules don't find anything, it then uses artificial intelligence to detect the event, and finally reports what it found.

Why it matters: Filed before the widespread adoption of highly capable Large Language Models. These models could now significantly enhance the accuracy and reduce the development effort for both the dependency matcher and the machine learning event detection components.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, NLP models, training data

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