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Advanced Smart Filtration Techniques for Real-time Air Quality Monitoring and Improvement, along with a machine learning-based alert system

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Url : https://doi.org/10.1109/icccnt61001.2024.10724983

Campus : Bengaluru

School : School of Computing

Department : Computer Science and Engineering

Year : 2024

Abstract : Poor air quality due to industrialization and urbanization causes respiratory problems and health concerns. Nearly 6.67 million people had died due to air pollution globally. To reduce we need to bring a new regulations as well as device for air pollutant purification. The proposed system has the stability of purification. Continuous monitoring and filtering are essential. This system integrates sensors and filters to provide real-time air quality data, using machine learning for accuracy. SMS alerts provide early warnings for timely action, increasing personal health awareness and regulatory compliance. Overall, it promotes better settings by reducing the negative effects of air pollution on public health and the environment.

Cite this Research Publication : Samrudhi S. Kamble, M. Yagnasri Priya, Swetha Sridhar, Sanjivani P. Shendre, D.K Niranjan, Advanced Smart Filtration Techniques for Real-time Air Quality Monitoring and Improvement, along with a machine learning-based alert system, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724983

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