Project Title:

IoT-Based Air Pollution Monitoring System

Objective:

To develop a real-time air pollution monitoring system using IoT technology to measure air quality and provide insights into environmental conditions. 

Project Summary:

This project focuses on building a smart air pollution monitoring system that uses IoT sensors to detect various pollutants in the air, such as carbon dioxide (CO2), carbon monoxide (CO), particulate matter (PM), and nitrogen dioxide (NO2). The sensors collect data and send it to a cloud platform for processing and analysis. Users can access this data via a web or mobile app, providing real-time air quality information. Alerts can be triggered when pollution levels exceed safe thresholds, helping to improve public health and raise environmental awareness.

Key Components:

Hardware: Air quality sensors (CO2, CO, PM, NO2), microcontroller (ESP32/Arduino), Wi-Fi/GSM module

Software: Cloud platform (ThingSpeak, Firebase), Data visualization dashboard (Web/Mobile app), Alert system (SMS/Email)

Technologies: IoT, Cloud Computing, Real-Time Data Analysis, Wireless Communication

Features:

Real-time monitoring of air quality parameters (CO2, CO, PM levels)

Cloud-based data storage and analysis

User-friendly dashboard for viewing pollution levels

Alerts for dangerous air quality conditions (e.g., high pollutant levels)

Historical data trends for pollution analysis and reports

Applications:

Urban air quality monitoring and smart city infrastructure

Public health organizations and environmental agencies

Industrial emissions tracking and compliance

Real-time pollution data for citizens and decision-makers

Outcome:

This project highlights how IoT can be used to monitor air quality in real-time, offering a valuable tool for environmental monitoring, public health improvement, and informed decision-making. It demonstrates the practical use of IoT for creating smarter, more sustainable cities.