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Match each construction AI scenario with the most appropriate AI task type.
A system identifies crane lifting cycles that take much longer than normal historical lifting operations.
A model predicts the expected duration of a concrete pour based on concrete volume, pump capacity, crew size and site access conditions.
A model predicts the final project delay in days based on current progress, labour availability and material delivery records.
A site image is analysed and labelled as containing a loader, mobile crane, concrete pump or concrete mixer.
An LLM drafts a toolbox talk for workers installing trench shoring near active excavation equipment.
A concrete surface image is classified as showing cracking, spalling, corrosion staining or no visible defect.
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