AURA is an AI-powered assistant built to help community members find answers quickly without relying on manual moderator response for every routine question.

The assistant was designed for support-style workflows such as answering frequently asked questions, guiding new members, and helping users navigate common requests. The goal was to improve responsiveness while reducing repetitive support load on administrators and moderators.

• answering common questions
• onboarding support for new members
• guidance for recurring support requests
• integration with broader community operations tooling

AURA was intended to make community support more scalable without making the experience feel impersonal. The focus was on giving users faster access to useful information while fitting naturally into the rest of the platform ecosystem.

The project extended the community tooling stack beyond moderation and event operations into user assistance. It represents the support layer of the broader system design work around student-community infrastructure.