assisted Air Quality Monitor W IoT Surveillance 23 Steps with Circuit Diagram An IoT-powered system for real-time air quality monitoring and analysis. This project integrates environmental sensors with a machine learning model to predict and assess air quality indices. Features include data visualization, predictive analytics, and automated alerts for actionable insights.

Testing and calibrating the sensor. The initial step involves calibrating the sensor. To achieve this, connect the sensor to the circuit and allow it to remain powered on for 24 hours to complete

Time Using ESP32 and Blynk IoT Platform Circuit Diagram
The necessity for real-time monitoring of Air Quality is very glaring. So in this project, we are going to build an ESP32 Air Quality Monitoring System using Nova PM SDS011 sensor, MQ-7 sensor, and DHT11 sensor. We will also be using an OLED Display module to display Air Quality Values.

In this project we are going to make an IOT Based Air Pollution Monitoring System in which we will monitor the Air Quality over a webserver using internet and will trigger a alarm when the air quality goes down beyond a certain level IoT & Edge AI Project Challenge 2024 World Energy Challenge 2023 India Automation Challenge 2021 Previously we have also built an IoT based Air pollution monitoring system using ESP8266, The collected data is displayed in real-time on an OLED screen using the Adafruit libraries. By continuously monitoring these parameters, the system offers a snapshot of air quality conditions, enabling users to assess and respond to changes in their

Design a Azure IoT Indoor Air Quality monitoring platform from scratch Circuit Diagram
MQ135 Air Quality Sensor. The MQ-135 gas sensor senses the gases like ammonia nitrogen, oxygen, alcohols, aromatic compounds, sulfide and smoke.The MQ-3 gas sensor has a lower conductivity to clean the air as a gas sensing material. In the atmosphere, we can find polluting gases, but the conductivity of the gas sensor increases as the concentration of polluting gas increases.