Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Smart Sustainable Design and Data-Driven AI Personalisation in Bamboo Based Air Purifier

Authors
Subodh Gade1, *, Kailas Patil1
1Vishwakarma University, Pune, India
*Corresponding author. Email: subodh.w.gade@gmail.com
Corresponding Author
Subodh Gade
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_32How to use a DOI?
Keywords
—Sustainable design; bamboo; artificial intelligence; IoT; indoor air quality; UN SDGs; personalized automation; energy optimization
Abstract

Indoor air pollution remains one of the most pressing public health issues of our time, particularly in South Asia where average AQI levels routinely exceed safe limits [1]. Building on our earlier prototype of a bamboo-based, AI-enhanced air purifier [12], this paper proposes the next stage of development: turning the device into a connected, data-driven system. By embedding Internet of Things (IoT) technology, the purifier will collect real-time environmental and usage data, enabling more personalized and energyefficient operation through trained AI models. Early results with the bamboo prototype demonstrated a 56% reduction in lifecycle emissions compared to plastic alternatives, quieter operation, and strong user approval. In this proposal, we outline how IoT-enabled sensing [20], cloud-based data pipelines, advanced AI algorithms [21], and on-device inference will be combined to create a truly adaptive system that supports multiple UN Sustainable Development Goals (SDGs). We also discuss methodology, expected benefits, and challenges involved in scaling this concept.

Copyright
© 2025 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 Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_32How to use a DOI?
Copyright
© 2025 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  - Subodh Gade
AU  - Kailas Patil
PY  - 2026
DA  - 2026/01/06
TI  - Smart Sustainable Design and Data-Driven AI Personalisation in Bamboo Based Air Purifier
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 451
EP  - 456
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_32
DO  - 10.2991/978-94-6463-948-3_32
ID  - Gade2026
ER  -