Predicting Aquatic Environment for Fish Species Survival Using IoT and ML

Project description

Project Overview (EN) Predicting Aquatic Environment for Fish Species Survival Using IoT and ML This project is a smart aquaculture monitoring system that collects real-time water quality data (pH, temperature, turbidity) using IoT sensors and applies machine learning models to: Predict the most suitable fish species for the current aquatic environment Recommend optimal water conditions for a selected fish species The system uses Arduino Uno with Ethernet-based communication for stable data transmission and provides a web dashboard for real-time visualization and prediction. Core Hardware…