Development and Performance Evaluation of AI-based Multi-functional Smart Air Quality Management System

Abstract

This research presents an AI-based smart air quality management system integrating air purification, environmental monitoring, plant cultivation, and natural fragrance functions. The system employs water filter-based purification and achieves 97.3% measurement accuracy, with AI-driven control providing personalized recommendations based on real-time analysis. Key innovations include color therapy modes for psychological well-being and a natural fragrance system with 1.5m effective radius. The system demonstrates advancement in indoor air management through its eco-friendly approach and comprehensive integration of environmental and psychological features. Future developments will focus on enhanced AI algorithms and IoT connectivity. This research contributes to smart home technology by presenting a sustainable solution for indoor air quality management.