Published Paper Details:

In modern educational institutions, effective communication is a key pillar of administrative efficiency. Traditional notice boards, often paper-based and manually updated, pose significant limitations in terms of scalability, timeliness, and environmental sustainability. This paper presents the design and implementation of an AI-powered smart notice board system that addresses these challenges through automation, multimedia integration, and conversational AI. The proposed system is built around a Raspberry Pi 4 platform, functioning as a compact and affordable local server. It hosts a Django-based web application that allows authorized administrators to upload and manage notices in the form of text, images, and videos. These notices are dynamically rendered on a connected HDMI display in a continuous loop. The system is further enhanced by the integration of a Rasa-powered chatbot, embedded within the display interface, which enables real-time interaction with users. The chatbot is trained to handle frequently asked academic queries, including examination schedules, project deadlines, and placement updates, thereby reducing repetitive student-faculty interactions. Designed to operate fully offline, the system is ideal for deployment in environments with limited network infrastructure. It emphasizes paperless communication, user interactivity, and real-time responsiveness. Extensive testing confirms the system's stability, ease of use, and potential for scalability across departments and institutions. This work contributes to the ongoing digital transformation of educational infrastructure, combining IoT, web technologies, and natural language processing into a cohesive smart campus solution.