Description
ORYNT is an AI-driven document classification and routing system designed to manage complex, unstructured engineering files, including PDFs, technical drawings, and mixed document types. I designed and implemented a machine learning model that identifies document types, assigns metadata tags, and drives automated routing decisions.
The system automates the transfer of files from local user machines to cloud-based storage, organizing documents into the correct folder structures with role-based access permissions. An execution layer generates detailed audit reports summarizing document movements, applied permissions, and classification outcomes. The architecture supports scalable onboarding of new document types.