Title: Investigation of air quality prediction and analysis amidst pandemic challenges with Indian sciences of Agnihotra: ML-based study for Healthcare 4.0

Authors: Rohit Rastogi; Priyanshi Garg

Addresses: Department of CSE, ABES Engineering College, Ghaziabad, UP, India ' ABES Engineering College, Ghaziabad, UP 201009, India

Abstract: Globally the novel Corona Virus disease (COVID-19) pandemic has no specific treatment till date. One of the effective and efficient ways to achieve wellness from illness is to adopt a holistic health approach through Vedic science which is an ancient and revolutionary medicinal method to treat different health issues. In this manuscript, among multiple benefits of Yagya, only pollution control has been considered. The Agnihotra (Yajna with mantra) was performed in different days and through sensors, the air quality index (AQI) was analysed on different parameters and ML and AI techniques have been applied on collected dataset for prediction of future air quality with the help of statistical analysis. It was observed a significant difference in terms of improvement in the AQI of the places not only on same days but after a few days too of Agnihotra. This research analysis presented here is a scientific study for AQI with emphasis on Vedic mantras and Yagya.

Keywords: Healthcare 4.0; AI; machine learning; sensor and IoT; Vedic science; Yajna and mantra; sensors.

DOI: 10.1504/IER.2021.115285

Interdisciplinary Environmental Review, 2021 Vol.21 No.1, pp.66 - 85

Received: 12 Oct 2020
Accepted: 20 Nov 2020
Published online: 26 May 2021 *

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