Development of a personalized air-purifying companion plant recommendation and management application based on MBTI
Year: 2024
Type: article
Abstract: As interest in a healthy indoor environment increases with the improvement of quality of life, the demand for air-purifying companion plants is also growing.While companion plants offer emotional stability and air purification benefits, selecting and managing the appropriate plants can be challenging without prior knowledge.In the researcher's previous study, a plant recommendation system based on MBTI personality types was introduced to help users choose suitable plants.Building on the achievements of that study, this research further enhances the application by adding a management feature that utilizes real-time weather data through OpenWeatherAPI.Not only that a new function that analyzes the condition of a plant based on a trained AI dataset and provides real-time feedback on the plant's status has been added.Through these improvements, it is expected that users will be able to easily select plants that match their MBTI personality and continuously care for them with the guidance provided in real time.
Authors: Yu-Jun Kang, WonWhoi Huh
Institution: Sungkyul University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405905141