International Journal of Scientific and Academic Research (IJSAR), eISSN: 2583-0279 2022-09-16T10:38:15+00:00 SRS Prints Open Journal Systems <p><span style="font-family: Times New Roman, serif;"><span style="background: #ffffff;">The International Journal of Scientific and Academic Research (IJSAR) is a scholarly peer-reviewed, open access multidisciplinary journal for publication of new ideas, state of the art research results, and fundamental advances in all fields of Physical and Mathematical Sciences, Engineering Science, Chemical, Biological Sciences, and Social Science subjects like Education Research, Economics, &amp; Management Science, The IJSAR started in 2021, registered the title in the ISSN India office:</span></span><strong><span style="font-family: Times New Roman, serif;"><span style="background: #ffffff;"> eISSN 2583-0279</span></span></strong><span style="font-family: Times New Roman, serif;"><span style="background: #ffffff;">. The journal IJSAR is registered in CrossRef DOI with prefix:<em><strong>10.54756/IJSAR.</strong></em> The vision of IJSAR is to publish original articles, review papers. IJSAR brings together Scientists, Academicians, Engineers, Scholars, and Students of Science, Engineering, and Technology. The journal accepts submission / publishes articles in English. </span></span></p> Study of Air Quality Detection using Machine Learning Techniques 2022-09-16T10:25:31+00:00 Dr. D.J. Samatha Naidu R. Aruna <p><em>Over the past few decades,&nbsp;</em><em>due to<strong>&nbsp;</strong></em><em>human activities, industrialization, and urbanization,&nbsp;air </em><em>pollution&nbsp;</em><em>has become a life-threatening factor in many countries around the world. Air,&nbsp;</em><em>an important<strong>&nbsp;</strong></em><em>natural resource, has been compromised in terms of quality by economic activities.&nbsp;</em><em>pollution<strong>&nbsp;</strong></em><em>is a severe problem in areas where population density is high such as metropolitan cities. Various </em><em>sorts of&nbsp;</em><em>emissions caused by people’s actions,&nbsp;</em><em>like<strong>&nbsp;</strong></em><em>transportation, power, and fuel use, are affecting air quality. Considerable research has been&nbsp;</em><em>dedicated to<strong>&nbsp;</strong></em><em>predicting instances of poor air quality, but most studies are limited by insufficient longitudinal data, making it difficult to account for seasonal and other factors. We forecast air quality by using machine learning to predict the air quality index of a given area. The air quality index is a dataset for </em><em>a</em> <em>typical</em><strong><em>&nbsp;</em></strong><em>measure used to indicate the pollutant (SO<sub>2</sub> NO<sub>2</sub>, RSPM, SPM, and more) levels over a period. The ML models like a Decision tree and Random Forest Classifier </em><em>are</em><strong><em>&nbsp;</em></strong><em>implemented and compared to show better accuracy.</em></p> 2022-09-16T00:00:00+00:00 Copyright (c) 2022 Dr. D.J. Samatha Naidu, R. Aruna