The problem AquaTracker solves

Real-time Monitoring: Users can effortlessly monitor crucial parameters like pH level, temperature, dissolved oxygen, and water hardness in real-time, ensuring optimal conditions for aquatic life.

Fish Health Management: By leveraging deep learning technology, AquaTracker can detect potential health issues in fish early on, allowing users to take prompt action to maintain their well-being.

Proactive Intervention: Alerts sent through the mobile app and website enable users to address any issues promptly, preventing potential harm to aquatic life and ensuring a healthier environment overall.

Sustainable Water Management: By providing insights and facilitating proactive measures, AquaTracker fosters sustainable water management practices, promoting responsible stewardship of aquatic ecosystems.

Convenience and Accessibility: With its user-friendly interface and seamless integration with mobile devices and websites, AquaTracker makes monitoring and managing aquariums easier and more accessible for users of all levels of expertise.

Challenges we ran into

Push protocol inconsistency: Notifications worked intermittently.

Integration challenge for fish health notifications: Deep learning model predictions needed to be integrated with the notification system effectively.

Accuracy of DL model: Initial accuracy of 77% was insufficient for reliable fish health detection.