Session is a semi-autonomous file management system for designers. It provides an adaptive system to as-sociate files using a semantic structure and natural language, establishing connections with files and how they are used. Utilising machine learning, Session powers ontology building by isolating contextual relationships and analysing usage information within the local directory, providing hyper-specific query results curated to spe-cific projects and tasks. Designers can find all relevant files, for example images, graphic documents and proposals, by using a simple query such as “Wireframes, yesterday”.
[Red Dot: Junior Award]
SCAD Savannah College of Art and Design, Savannah, Georgia, USA