Abstract: Machine learning systems and methods for automatic generation of construction schedules and expense estimates are provided. The system includes a data integration software layer which collects and pre-processes data generated from an insurance claims estimation software application; a machine learning (ML)/artificial intelligence (AI) software layer which extracts features from the data and trains and deploys one or more predictive machine learning models for generating construction schedules and expense estimates; and an automated construction schedule generation software layer which automatically generates a construction schedule and associated expense estimates using information generated by the data integration and ML/AI layers.

Abstract: A portable system and method that automates collection, integration, analysis, reporting and archiving of data and collection and archiving of specimens in a variety of applications while insuring chain of custody integrity not attainable conventionally. Applications include: forensics, municipal management, utility management, real estate, insurance, environmental protection and remediation, safety, security, education, emergency management, land use, fish and wildlife management, construction and maintenance of highways and waterways, mining, timber, agricultural, resource exploration, manufacturing, recreational management, urban restoration, military, and archaeological preservation. Select embodiments integrate a number of functions in a handheld device, employing digital technology, integrated sensors, marking, tracking and monitoring tags, and specialized software as well as processors for analysis, such as CPUs, ASICs, PCs and the like.