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Proyek ini adalah sistem pemantauan perubahan iklim menggunakan berbagai sensor yang terhubung ke Arduino. Sistem ini mengumpulkan data dari lingkungan sekitar dan mengirimkannya ke broker MQTT untuk analisis lebih lanjut.
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
This project aims to create a smart attendance system using face recognition technology. The system captures and recognizes faces in real-time and marks attendance automatically, providing a seamless and efficient way to manage attendance records.
An IoT project to send live local weather data gathered using Raspberry Pi's SenseHat to a remote database and display in an online dashboard at www.math.foodonya.com/iot Stack used: Python, Python external libraries, PHP, MySQL, Apache, Bootstrap, CSS, jQuery. This public repository must be used for non-commercial educational use only.
Go IoT Platform, a high-efficiency and scalable Internet of Things solution developed with the Go language. This platform focuses on providing stable and reliable MQTT client management, as well as comprehensive processing and analysis of MQTT reported data.