Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Air Quality Prediction and Purifier Recommendation With E-commerce Integration

Authors
Aman Raj Sharma1, Harshit Khare1, Kaavya Kanagaraj1, *
1Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai, India
*Corresponding author. Email: kaavyak@srmist.edu.in
Corresponding Author
Kaavya Kanagaraj
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_11How to use a DOI?
Keywords
Air quality prediction; Amazon product API; Real-time AQI measurement report; sustainable solution; environment; smart architecture
Abstract

This paper amalgamates air quality prediction, purifier recommendation, and e-commerce into a streamlined platform. Leveraging Streamlit and React, it offers real-time Air Quality Index (AQI) detection based on location, aiding users in assessing breathing suitability. By employing Random Forest Regression, the system achieves an exceptional 99.7% accuracy, surpassing similar applications. The predictive model not only forecasts air quality but also recommends appropriate air purifiers, enhancing user well-being. Seamlessly integrating e-commerce functionalities, it allows direct access to recommended purifiers, facilitating swift and informed purchase decisions. This innovative solution not only delivers precise AQI insights but also ensures a user-friendly interface, empowering individuals to make informed choices for healthier living environments.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_11
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_11How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aman Raj Sharma
AU  - Harshit Khare
AU  - Kaavya Kanagaraj
PY  - 2024
DA  - 2024/07/30
TI  - Air Quality Prediction and Purifier Recommendation With E-commerce Integration
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 109
EP  - 117
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_11
DO  - 10.2991/978-94-6463-471-6_11
ID  - Sharma2024
ER  -