Large scale industrialization and the increase in the number of factories and industries across major cities in the world have been contributing to the decreasing air quality. This is since a rapid increase in the population across the world has prompted the majority of the companies across the globe to adopt mass-production activities to keep up with the increasing demand. This is evident in the fact that most of the big cities have an increasing number of cases of respiratory illnesses and asthmatic symptoms in the populous. Therefore, there is an urgent need to address these issues to provide a better environment and reduce such incidences. The Internet of Things or IoT platform is a quite a promising platform for this approach which has been getting increasingly affordable and approachable. Therefore, in the approach stipulated in this research, the IoT platform has been utilized in addition to the Machine Learning paradigms to achieve accurate air quality predictions. The proposed methodology utilizes K nearest neighbors and Linear Regression, along with the Hidden Markov Model for effective Pollution level estimation.
Prediction, Hidden Markov model, Regression Analysis, Shannon Information gain estimation, Root mean square error
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.