Xichen Liu¹ and Yujia Zhang², ¹USA, ²California State Polytechnic University, USA

This paper introduces PlantAssist, a system designed to address the challenges faced by residents in maintaining indoor vegetation [4]. With an increasing number of people leaving their homes for extended periods, the need for a convenient and reliable solution to water indoor plants has become crucial. Existing options such as hiring caretakers or relying on friends pose security risks and inconvenience. PlantAssist presents a hardware and software solution that emulates regular outside irrigation systems [6]. The hardware is seamlessly integrated into the plant's pot, allowing users to choose their preferred style without compromising the room's aesthetic [5]. The system utilizes smart AI prediction to determine when watering is necessary, ensuring plants receive optimal care [7]. Through a user-friendly app, residents can effortlessly access information about water levels and schedule watering sessions. PlantAssist offers users a hassle-free lifestyle, ensuring their plants are watered without any effort required [8]

Indoor plant care, Automated watering system, Moisture control, AI prediction