Is the Ecosystem of Kolkata Sustainable?: Machine Learning Based Study on Air Quality Index
Biswajit Biswas1, Sayantan Ghosh2
1Dr. Biswajit Biswas, Department of Business Administration, University of Kalyani, West Bengal, India.
2Sayantan Ghosh, Performance-io LLP, Kolkata (West Bengal), India.
Manuscript received on 28 April 2023 | Revised Manuscript received on 01 June 2023 | Manuscript Accepted on 15 June 2023 | Manuscript published on 30 December 2023 | PP: 7-13 | Volume-3 Issue-4, June 2023 | Retrieval Number: 100.1/ijainn.D1066063423 | DOI: 10.54105/ijainn.D1066.063423
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Timely and accurate forecasting of Air Quality Index (AQI) helps the Industries to select suitable control of air pollution measures. It helps people to reduce exposure in pollution. In this present age Air quality Index is one of the burning issues in India. The air contaminations are harmful for our biological system and also for the climate. To keep up the best air quality cross the country different types of air toxins are estimated through the air quality measuring standards. The aim of this research work is modelling air quality of a location with respect to time with the help of Machine Learning (ML). The proposed and developed model was emphasizes particularly in Kolkata, capital of the state West Bengal in India and the findings have direct implications to build & maintain a sustainable ecosystem over there.
Keywords: Air Quality Index, Machine Learning (ML), Python, Suitable control.
Scope of the Article: Machine Learning