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Brief Description of Project:

Develop a web-based application using machine learning and computer vision algorithms to preprocess electronic monitoring data from the Hawaii pelagic longline fisheries. Project will reduce costs and improve timeliness of the review process, lowering the barrier to entry for implementation of electronic monitoring and review technologies in the Hawaii-permitted longline fisheries.

Requirements Specification:

- Software Architecture and User Interface Design

- Collection and Annotation of Machine Learning Training Data

- Alaska specific Machine Learning Model Development- Front-end software development

- Back-end software services development- Application pilot and evaluation