About This Architecture

ARC System use case diagram maps instructor and admin actor interactions with a machine learning-powered document classification platform. Instructors perform core workflows including account registration, document upload, classification result viewing, and personal statistics tracking, while admins inherit all instructor capabilities plus system-wide management functions like user account administration and ML model retraining. The diagram illustrates role-based access control where admins oversee global statistics, manage user accounts, and control the ML classification model lifecycle. This architecture demonstrates separation of concerns and privilege escalation patterns essential for multi-tenant SaaS platforms handling sensitive educational documents. Fork this diagram on Diagrams.so to customize actor roles, add additional use cases, or adapt it for your own classification system requirements.

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What are the key use cases and actor roles in a document classification system with instructor and admin workflows?

The ARC System use case diagram defines two primary actors: Instructors who upload documents, view classifications, and manage personal statistics, and Admins who inherit all instructor capabilities plus system administration functions including user account management, global statistics viewing, and ML model retraining. This separation demonstrates role-based access control best practices for mul