IQArMobi: Intelligent Air Quality Classification with Location Awareness in Outdoor and Indoor Environments

• Eusébio Thaylor Unifesspa
• Nandson Cunha Unifesspa
• Alife Moraes Unifesspa
• Warley Junior Unifesspa
• Elton Alves Unifesspa

DOI: https://doi.org/10.5753/wcama.2025.9015

Abstract

Air pollution, driven by urban, industrial, and agricultural growth, has negatively impacted human health, biodiversity, and the environment, demanding effective monitoring solutions. Faced with this challenge, this work proposes an intelligent solution, called IQArMobi, which combines machine learning algorithms and distance calculation to classify the Air Quality Index (AQI) based on IoT sensor data, providing accurate and personalized information to users. As the main result, the Logistic Regression algorithm stood out as the best classifier, with 99% accuracy, followed by Random Forest (96%), validating the effectiveness of this solution in real-time decision-making.

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