ClearQueue

ClearQueue is an AI-powered intake and routing system for campus operations teams. The problem it solves is simple: students and staff often submit vague issue reports like “there is water everywhere” or “smoke in the hallway,” leaving operations teams to figure out the actual issue, urgency, correct department, and missing details before they can respond. ClearQueue improves that process by turning messy reports into structured, staff-ready tickets. A user submits an issue through a simple intake form, and the app uses Qwen through the Hugging Face Inference API to rewrite the title, summarize the issue, assign a category, route it to the right department, identify missing information, and recommend the next action. The key feature is that ClearQueue does not blindly trust the model. After the AI structures the ticket, the backend applies deterministic safety guardrails. For example, reports mentioning smoke, fire, gas, sparks, injury, or blocked exits are automatically escalated to Critical and routed to Campus Safety / Emergency Maintenance. Issues like water overflow, leaks, flooding, no heat, or broken locks can be upgraded to High priority. The app includes a staff dashboard where tickets are saved through backend API routes, displayed in a queue, filtered by priority/status, and updated as they move from Open to In Progress to Resolved. Demo controls also allow judges to load realistic sample tickets and clear the queue. ClearQueue is built as a hackathon MVP to show how AI can improve real operational workflows without replacing human judgment.