This fully automated water quality management system is designed to optimize aquatic health for both aquaculture and hobbyist setups, minimizing the need for manual monitoring. It integrates a comprehensive suite of sensors—measuring pH, turbidity, dissolved oxygen, and temperature—connected to a Raspberry Pi for real-time, continuous data collection.

To ensure accurate monitoring, the system uses Kalman filtering to refine sensor inputs and applies advanced forecasting techniques like LSTM and ARIMA models to predict future water quality trends. This enables proactive adjustments, ensuring a stable and healthy aquatic environment.

The solution also features a smart, cloud-connected dashboard that provides remote access to real-time alerts, historical data visualization, and AI-powered feeding recommendations based on environmental trends. By transforming traditional fish tank management into a predictive, data-driven process, this system enhances sustainability, improves aquatic life outcomes, and offers a smarter, more efficient approach to water quality control.