Smart Complaint Registration Chatbot CampusCare Bot

Abstract

Abstract This paper presents the design, development, and thorough validation of CampusCare Bot, a smart complaint-registration chatbot created to streamline and improve how issues are resolved across a university campus. Powered by Natural Language Processing (NLP), the system can instantly interpret unstructured text-based complaints and categorize them—such as Maintenance, IT, or Safety—with an accuracy of 92%.The bot is built using a scalable Python/Flask microservices architecture, guided by design automation principles to maintain structural consistency and speed up deployment. To evaluate the system’s performance, the research includes both quantitative and qualitative analyses. A Prophet time-series model is used to forecast user activity and peaks in complaint volume, helping administrators manage resources proactively. Meanwhile, insights from user interviews show that the bot improves transparency and trust, thanks to its clean, unified design and real-time ticket-tracking features. Overall, CampusCare Bot stands as a strong example of how conversational AI can be integrated into essential administrative processes, setting a new benchmark for operational efficiency and student support in smart-campus initiatives.

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