I m creating channel for IOT project which my teacher assigned to me
This channel collects real-time environmental data (temperature and humidity) from an ESP32-based IoT monitoring system. Data is captured from a DHT11 sensor and uploaded every 15 seconds.
This channel logs real-time environmental data using an ESP32 microcontroller with GY-8511 UV sensor, AM2320 temperature & humidity sensor, and a 16x2 LCD display. It also includes a buzzer alert for high UV levels. Data is uploaded every 20 seconds.
This channel monitors environmental conditions in an underground bus terminal. It collects and records temperature, humidity, and air quality (PPM) data to ensure a safe and comfortable environment for passengers. The data is used for real-time analysis a
NextGen Air Purifier is an intelligent IoT-based air quality monitoring and predictive control system. The system continuously measures PM2.5 particulate matter, harmful gases, temperature, and humidity using multiple environmental sensors. The collected
Real-time environmental monitoring system for industrial floor surveillance with temperature, humidity, air quality, and obstacle detection.
LoRaWAN-based IoT project for real-time environmental data collection including temperature, humidity, motion, and battery status. Data is sent via TTN and visualized on ThingSpeak
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,
It is a floating water monitoring device deigned to measure and track the health of water bodies such as lakes, ponds and dams. Data is collected via sensors and uploaded to ThingSpeak for analysis and visualization.
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
The IoT-based Smart Helmet for Coal Mine Workers is a creative solution that was developed and put into use in this research study. It has a number of sensors, including, temperature and humidity sensors, gas sensors for identifying dangerous substance