Air Pollution Monitoring and Prediction System using Internet of Things

In this video, we present an Air Pollution Monitoring and Prediction System using the Internet of Things (IoT), demonstrating how smart sensors and data analytics can be used to monitor air quality and predict pollution levels in real time.

This session covers:
• Introduction to Air Pollution and Air Quality Index (AQI)
• Role of IoT in environmental monitoring
• Sensors for detecting PM2.5, PM10, CO, CO₂, NO₂, SO₂, and temperature/humidity
• System architecture and data transmission
• Use of machine learning for pollution prediction
• Real-time alerts and visualization dashboards

This system helps in:
• Continuous air quality monitoring
• Early warning of hazardous pollution levels
• Supporting smart city initiatives
• Improving public health awareness

This video is ideal for students and professionals in IoT, Embedded Systems, Environmental Engineering, Data Science, and Smart City Technologies.

📌 Suitable for:
CSE / IT / ECE students
IoT-based mini & final year projects
Environmental monitoring systems
Smart city applications

#AirPollution #IoT #SmartCity #EnvironmentalMonitoring #AQI #EmbeddedSystems #MachineLearning #FinalYearProject #GreenTechnology #DigitalIndia

Видео Air Pollution Monitoring and Prediction System using Internet of Things канала Jack Sparrow Publishers