Yingqi Wang¹ and Marisabel Chang², ¹USA, ²California State Polytechnic University, USA

This research explores the development and evaluation of PlantAR, a system designed to enhance indoor spaces using augmented reality (AR) and artificial intelligence (AI) technologies [1][2]. The problem of reduced indoor air quality and psychological well-being due to a lack of greenery is addressed by providing users with personalized plant recommendations and AR visualizations [3]. The system's key components include an AI engine for real-time data analysis, a database for managing user and plant information, and a user interface that integrates AR functionality. Experiments conducted to assess AR accuracy and user engagement revealed that while the system performs well under optimal conditions, further improvements are needed to handle challenging environments and sustain user interest. Overall, PlantAR demonstrates significant potential as a tool for improving indoor environments, with opportunities for future enhancements.

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