Design and Implementation of an Intelligent Fish Tank System

The rapid development of the Internet of Things (IoT) is fundamentally reshaping the smart home ecosystem, providing unprecedented levels of automation, monitoring, and control. In this field, smart fish tanks are a key application that solves the persistent challenge in aquarium farming: maintaining optimal water parameters to prevent fish mortality. Traditional manual management methods are notoriously unreliable, which highlights a significant problem demanding technological solutions. This paper presents the comprehensive design, implementation, and rigorous evaluation of an IoT-based Intelligent Fish Tank System. The system integrates multi-sensor arrays for continuous water quality monitoring ($\mathbf{p H}$, conductivity, turbidity, temperature, dissolved oxygen), coupled with automated controllers (LED lighting, pump, aerator) and a remote mobile application interface. Leveraging the MQTT protocol for robust communication and featuring a custom 3D-printed enclosure, the system aims to provide a stable aquatic habitat while significantly reducing manual intervention and the risk of environmental failure. Also, this paper details the hardware architecture centered on an Xtensa LX6 dual-core processor, the modular software design, presents empirical stability assessment data, identifies potential failure modes, and proposes future enhancements, including AI-driven analytics and sustainable design integration.