Project LOCOMO AR: Augmented Reality with Carbon Metrics for Sustainable AI Use

Abstract

The rapid uptake of large language models (LLMs) has highlighted the considerable energy use and carbon emissions associated with inference, yet end-users remain largely unaware of these hidden costs. We present LOCOMO AR (LOwer COnsumption, More Optimization), an augmented reality application that integrates real-time computer vision, speech recognition and LLM reasoning with on-device visualization of the environmental footprint generated by each query. We demonstrate the system across assistive, cultural heritage, and healthcare scenarios. By integrating real-time estimates of carbon emissions, we offer a lightweight approach for promoting environmentally responsible AI use on consumer devices.

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