FishTankv2 Insights: Proactive Environmental Management with Predictive Analytics

This study presents FishTankv2, an advanced Internet of Things (IoT) based smart aquarium management system designed for freshwater fish enthusiasts. FishTankv2 integrates a range of sensors to monitor critical water parameters such as ammonia, nitrite, nitrate, dissolved oxygen, pH levels, and temperature. These enhancements provide users with comprehensive insights into their aquarium's health, facilitating proactive maintenance and care. The system features a mobile application that allows users to remotely monitor and control their aquariums, offering functionalities such as real-time parameter tracking, automated feeding, and maintenance reminders. A key innovation in FishTankv2 is the incorporation of predictive analytics, which utilizes machine learning algorithms to forecast potential issues based on historical data. This enables timely interventions to prevent adverse conditions, ensuring a stable and healthy environment for aquatic life. User feedback collected through surveys and usability testing indicates high satisfaction with the system's intuitive interface, comprehensive monitoring capabilities, and predictive alert features. Comparative analysis shows that FishTankv2 outperforms many existing smart aquarium systems in terms of sensor integration, predictive analytics, and overall user experience. The study concludes that FishTankv2 effectively meets its objectives of enhancing aquarium management through advanced technology, making it a valuable tool for both novice and experienced aquarium enthusiasts. Future developments will focus on further refining predictive models, expanding device compatibility, and adding more automation features to maintain its competitive edge.