Abstract: Air Quality Analysis is a project aimed at monitoring and evaluating air pollution levels using key parameters such as PM2.5, PM10, CO, SO₂, NO₂, and O₃. The system collects and analyses real-time or historical data to identify patterns and trends in air quality. Using data analysis and visualization techniques, the project provides insights into pollution levels and their impact on health and the environment. The results help in predicting air quality changes and support effective decision-making for pollution control and environmental sustainability.

Keywords: Air Quality Analysis, Air Pollution, PM2.5, PM10, Data Analytics, Environmental Monitoring, Pollution Prediction, Machine Learning


Downloads: PDF | DOI: 10.17148/IJIREEICE.2026.14439

Cite This:

[1] Roshan Zameer M, Ms. Hemalatha A, "AIR QUALITY DATA ANALYSIS AND DYNAMIC VISUALIZATION," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2026.14439

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