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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: AIR QUALITY PREDICTION USING MACHINE LEARNING
Authors Name: JONNALAGADDA VIJAYA SAI SUDHEER , JONNALAGADDA GOPI CHAND , DIVI SUDHEER , TANIKONDA DANIEL RAJU , MS.FEMIMOL. R
Unique Id: IJSDR2304249
Published In: Volume 8 Issue 4, April-2023
Abstract: Air pollution is a growing issue these days. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. Here we propose a prediction of air quality using ML. The system predicts air quality. Examining and protecting air quality has become one of the most essential activities for the government in many industrial and urban areas today.The meteorological and traffic factors, burning of fossil fuels, and industrial parameters play significant roles in air pollution. With this increasing air pollution .The deposition of this harmful gases in the air is affecting the quality of people’s lives, especially in urban areas. Sulphur dioxide irritates the skin and mucous membranes of the eyes , nose, throat, and lungs. By using the machine learning regression models on AQI and classification models on AQI range, the system predicts the air quality in the respective locality.
Keywords: :Air pollution, AQI range, machine learning
Cite Article: "AIR QUALITY PREDICTION USING MACHINE LEARNING ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1566 - 1576, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304249.pdf
Downloads: 000337073
Publication Details: Published Paper ID: IJSDR2304249
Registration ID:205498
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1566 - 1576
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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