IoT-based Flood Detection using NodeMCU, Ultrasonic and Rain sensors for real-time water level monitoring and alerts.

Channel ini digunakan untuk memantau status pintu otomatis berbasis ESP32. Data dikirim ke ThingSpeak setiap kali pintu dibuka atau ditutup melalui web server. Field 1 merepresentasikan status pintu tertutup, Field 2 untuk status terbuka, dan Field 3 menc

Channel untuk memantau status empat LED (merah, kuning, hijau, biru) menggunakan ESP32 dan ThingSpeak.

Channel ini digunakan untuk memantau tombol keypad yang menyalakan buzzer pada ESP32. Setiap tombol mewakili satu nada musik (Do, Re, Mi, Fa, So, La, Si, Do tinggi) yang akan dikirim ke ThingSpeak saat ditekan melalui web server.

Proyek ESP32 untuk mengontrol motor stepper melalui web server dan mengirim data status ke ThingSpeak. Data mencakup arah putaran dan kecepatan motor.

Reads temp/humidity from ESP32 (DHT22)computes Dew Point & Humidex, and alerts via React

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The turf roof sensor node (Device HW_ID 7) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

The turf roof sensor node (Device HW_ID 1) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

The turf roof sensor node (Device HW_ID 3) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

The turf roof sensor node (Device HW_ID 5) measures air temperature, humidity, soil moisture, soil temperature, and battery level. For remote monitoring and continuous tracking of turf roof conditions and device health.

This channel measures temperature and humidity using a DHT11 sensor connected to NodeMcu.

This channel monitors indoor air quality using an MQ-135 sensor and NodeMCU ESP8266. It measures gas concentrations (CO₂, NH₃, ethanol, benzene, smoke, etc.) and sends real-time PPM readings to ThingSpeak for visualization and analysis. The system include

This channel is designed for real-time monitoring and predictive maintenance of transformers using IoT and AI concepts. The system uses an ESP32 microcontroller connected with multiple sensors to measure key transformer health parameters such as temperatu