Eco-Bee: A Personalised Multi-Modal Agent for Advancing Student Climate Awareness and Sustainable Behaviour in Campus Ecosystems
Caleb Adu, Neil Kapadia, Binhe Liu, Jonathan Randall, Sruthi Viswanathan

TL;DR
Eco-Bee is an AI-powered, multi-modal conversational agent designed to enhance student awareness and promote sustainable behaviors on university campuses by connecting individual actions to planetary boundaries.
Contribution
It introduces Eco-Bee, integrating large language models and planetary science to deliver personalized, engaging sustainability feedback tailored for students.
Findings
96% of students supported campus-wide Eco-Bee deployment
Participants reported a clearer understanding of environmental impacts
Eco-Bee effectively combines science, AI, and gamification for sustainability education
Abstract
Universities are microcosms of urban ecosystems, with concentrated consumption patterns in food, transport, energy, and product usage. These environments not only contribute substantially to sustainability pressures but also provide a unique opportunity to advance sustainability education and behavioural change at scale. As in most sectors, digital sustainability initiatives within universities remain narrowly focused on carbon calculations, typically providing static feedback that limits opportunities for sustained behavioural change. To address this gap, we propose Eco-Bee, integrating large language models, a translation of the Planetary Boundaries framework (as Eco-Score), and a conversational agent that connects individual choices to environmental limits. Tailored for students at the cusp of lifelong habits, Eco-Bee delivers actionable insights, peer benchmarking, and gamified…
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