Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments

Janapala Lohith Kumar; Arunachalam  Rajkumar; Arun Kumar Ramamoorthy; Benson Raj; Balaji Barmavat; Iwin Thanakumar Joseph

doi:10.1109/ICIRCA65293.2025.11089536

Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments

Janapala Lohith Kumar, Arunachalam Rajkumar, Arun Kumar Ramamoorthy, Benson Raj, Balaji Barmavat, Iwin Thanakumar Joseph^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Airguard is an innovative, cloud-based air-quality forecasting tool developed to provide real-time and predictive insights into urban pollution dynamics. Based on information such as historical air-quality measurement and meteorological data, predictions about future pollutant concentrations are made to enable better urban planning and public health interventions. By using free cloud environments for model training in Google Colab and interactive deployment platforms such as AWS Cloud, Hugging Face Spaces, Airguard is not only a cost-effective option but also advocates for Sustainable Development Goals (SDG) 11 (Sustainable Cities and Communities) and SDG 3 (Good Health and Well-Being). The approach proposed has a performance that is highly competitive with state-of-the-art models and cloud services and shows strong predictive performance and scalability.

Original language	English
Title of host publication	6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025)
Publisher	Institute of Electrical and Electronics Engineers
Pages	1361-1365
Number of pages	5
ISBN (Electronic)	979-8-3315-2142-4
DOIs	https://doi.org/10.1109/ICIRCA65293.2025.11089536
Publication status	Published - 31 Jul 2025
Event	2025 6th International Conference on Inventive Research in Computing Applications - Coimbatore, India Duration: 25 Jun 2025 → 27 Jun 2025 Conference number: 6th

Publication series

Name	2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)

Conference

Conference	2025 6th International Conference on Inventive Research in Computing Applications
Abbreviated title	ICIRCA2025
Country/Territory	India
City	Coimbatore
Period	25/06/25 → 27/06/25

Keywords

Air Quality Forecasting
Machine Learning
Public Health
Sustainable Cities
Time Series Analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICIRCA65293.2025.11089536

Cite this

Lohith Kumar, J., Rajkumar, A., Ramamoorthy, A. K., Raj, B., Barmavat, B., & Thanakumar Joseph, I. (2025). Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments. In 6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025) (pp. 1361-1365). (2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIRCA65293.2025.11089536

Lohith Kumar, Janapala ; Rajkumar, Arunachalam ; Ramamoorthy, Arun Kumar et al. / Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments. 6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025). Institute of Electrical and Electronics Engineers, 2025. pp. 1361-1365 (2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)).

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title = "Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments",

abstract = "Airguard is an innovative, cloud-based air-quality forecasting tool developed to provide real-time and predictive insights into urban pollution dynamics. Based on information such as historical air-quality measurement and meteorological data, predictions about future pollutant concentrations are made to enable better urban planning and public health interventions. By using free cloud environments for model training in Google Colab and interactive deployment platforms such as AWS Cloud, Hugging Face Spaces, Airguard is not only a cost-effective option but also advocates for Sustainable Development Goals (SDG) 11 (Sustainable Cities and Communities) and SDG 3 (Good Health and Well-Being). The approach proposed has a performance that is highly competitive with state-of-the-art models and cloud services and shows strong predictive performance and scalability.",

keywords = "Air Quality Forecasting, Machine Learning, Public Health, Sustainable Cities, Time Series Analysis",

author = "{Lohith Kumar}, Janapala and Arunachalam Rajkumar and Ramamoorthy, {Arun Kumar} and Benson Raj and Balaji Barmavat and {Thanakumar Joseph}, Iwin",

year = "2025",

month = jul,

day = "31",

doi = "10.1109/ICIRCA65293.2025.11089536",

language = "English",

series = "2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)",

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pages = "1361--1365",

booktitle = "6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025)",

note = " 2025 6th International Conference on Inventive Research in Computing Applications, ICIRCA2025 ; Conference date: 25-06-2025 Through 27-06-2025",

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Lohith Kumar, J, Rajkumar, A, Ramamoorthy, AK, Raj, B, Barmavat, B & Thanakumar Joseph, I 2025, Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments. in 6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025). 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Institute of Electrical and Electronics Engineers, pp. 1361-1365, 2025 6th International Conference on Inventive Research in Computing Applications, Coimbatore, India, 25/06/25. https://doi.org/10.1109/ICIRCA65293.2025.11089536

Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments. / Lohith Kumar, Janapala; Rajkumar, Arunachalam; Ramamoorthy, Arun Kumar et al.
6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025). Institute of Electrical and Electronics Engineers, 2025. p. 1361-1365 (2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments

AU - Lohith Kumar, Janapala

AU - Rajkumar, Arunachalam

AU - Ramamoorthy, Arun Kumar

AU - Raj, Benson

AU - Barmavat, Balaji

AU - Thanakumar Joseph, Iwin

N1 - Conference code: 6th

PY - 2025/7/31

Y1 - 2025/7/31

N2 - Airguard is an innovative, cloud-based air-quality forecasting tool developed to provide real-time and predictive insights into urban pollution dynamics. Based on information such as historical air-quality measurement and meteorological data, predictions about future pollutant concentrations are made to enable better urban planning and public health interventions. By using free cloud environments for model training in Google Colab and interactive deployment platforms such as AWS Cloud, Hugging Face Spaces, Airguard is not only a cost-effective option but also advocates for Sustainable Development Goals (SDG) 11 (Sustainable Cities and Communities) and SDG 3 (Good Health and Well-Being). The approach proposed has a performance that is highly competitive with state-of-the-art models and cloud services and shows strong predictive performance and scalability.

AB - Airguard is an innovative, cloud-based air-quality forecasting tool developed to provide real-time and predictive insights into urban pollution dynamics. Based on information such as historical air-quality measurement and meteorological data, predictions about future pollutant concentrations are made to enable better urban planning and public health interventions. By using free cloud environments for model training in Google Colab and interactive deployment platforms such as AWS Cloud, Hugging Face Spaces, Airguard is not only a cost-effective option but also advocates for Sustainable Development Goals (SDG) 11 (Sustainable Cities and Communities) and SDG 3 (Good Health and Well-Being). The approach proposed has a performance that is highly competitive with state-of-the-art models and cloud services and shows strong predictive performance and scalability.

KW - Air Quality Forecasting

KW - Machine Learning

KW - Public Health

KW - Sustainable Cities

KW - Time Series Analysis

U2 - 10.1109/ICIRCA65293.2025.11089536

DO - 10.1109/ICIRCA65293.2025.11089536

M3 - Conference contribution

T3 - 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)

SP - 1361

EP - 1365

BT - 6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025)

PB - Institute of Electrical and Electronics Engineers

T2 - 2025 6th International Conference on Inventive Research in Computing Applications

Y2 - 25 June 2025 through 27 June 2025

ER -

Lohith Kumar J, Rajkumar A, Ramamoorthy AK, Raj B, Barmavat B, Thanakumar Joseph I. Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments. In 6th International Conference on Inventive Research in Computing Applications (ICIRCA-2025). Institute of Electrical and Electronics Engineers. 2025. p. 1361-1365. (2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA)). doi: 10.1109/ICIRCA65293.2025.11089536

Airguard: A Cloud-Based Dynamic Air Quality Forecasting Tool for Urban Environments

Abstract

Publication series

Conference

Keywords

UN SDGs

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Cite this