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The project "IoT-Based Automated Hydroponic System" aims to develop a modern and sustainable approach to hydroponic farming that maximizes efficiency by using technology to monitor and control growth conditions, reducing resource consumption, and enabling users to make data-driven decisions for better crop management.
In this project, we will develop a system that monitors the temperature, humidity, smoke leakage, current voltage, and vibration of the server room via an Arduino IoT dashboard. In addition to attempting to detect and alert for Power Failure, Fire, Smoke, etc., this system will also integrate automation at the edge level for temperature control.
Academic Space Management System uses IoT technology based on ESP32 and a mobile application developed with Flutter to intelligently manage spaces in a university.
AquaKoi is an IoT-based smart monitoring and control system designed for koi fish cultivation. It leverages Firebase, Flutter, and ESP32 to provide real-time data monitoring, predictive analysis, and automated control of water quality parameters. The mobile application offers intuitive interfaces for auto-pilot control and monitoring parameters