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

This channel collects live environmental data using an ESP32-based IoT node equipped with DHT22 for temperature and humidity, and multiple MQ gas sensors (MQ2, MQ3, MQ4, MQ7, MQ8, MQ135) for monitoring air quality parameters such as smoke, alcohol vapors,

Monitoring total aktivasi pompa harian, mingguan, dan bulanan menggunakan ESP32.

This IoT-based system uses an ESP32 microcontroller and real-time sensors to monitor river water quality. It measures pH, TDS, and turbidity, sending data to ThingSpeak for live visualization. The goal is to support early detection of water pollution and

Dummy IoT project that simulates temperature, humidity, and air quality data for demo purposes.

This channel logs emergency alerts, obstacle detection, and water detection from the smart blind stick.

IoT sensor module that uses ESP32 to collect data of the environment surrounding it. It sense the data and averages it every 10 minutes and uploads it to ThingSpeak. It will also display the past 24 hours of data gathered with 144 points.

This channel monitors temperature using an LM35 sensor and controls a fan with IC741 comparator. Data is logged to ThingSpeak for visualization and analysis.

This channel monitors temperature using an LM35 sensor and controls a fan with IC741 comparator. Data is logged to ThingSpeak for visualization and analysis.

Channel storing processed accelerometer and GPS-derived walking metrics for SEE711 IoT Systems project. Data includes step counts, speed, step length, and related performance metrics.

Simulated air quality data with PM2.5, PM10, and CO2 sent to ThingSpeak

This project implements a Smart IoT-based Remote Monitoring and Control System using the ESP32 microcontroller and ThingSpeak cloud platform. It is designed to monitor, control, and analyze the performance of heavy-duty water pumping stations remotely and

Temperature & Humidity Log

Designing electronics circuits