Real-Time Monitoring of Aquarium Conditions to Ensure Optimal Fish Health

This research introduces a novel approach to safeguarding aquatic ecosystems through the integration of Internet of Things (IoT) and machine learning technologies. Our system monitors critical parameters such as pH level, hardness, dissolved oxygen, and temperature in real-time. Leveraging machine learning algorithms, it can detect potential health issues in fish by analyzing images, water quality, or fish residue. Alerts are then seamlessly communicated to users via a dedicated website or mobile app. This comprehensive solution ensures promoting the well-being of aquatic life and contributing to sustainable water management practices.