Innovative Engineering with AI Applications

10A Comparative Intelligent Environmental Analysis of Air-Pollution in COVID: Application of IoT and AI Using ML in a Study Conducted at the North Indian Zone

Rohit Rastogi¹*, Abhishek Goyal², Akshit Rajan Rastogi¹ and Neha Gupta¹

¹Dept. of CSE, ABES Engineering College, Ghaziabad, U.P., India

²Dept. of CSE, KIET Engineering College, Ghaziabad, U.P., India

Abstract

In the populated and developing countries, governments consider the regulation and protection of environment as a major task and should take into consideration the concept of Smart Environment Monitoring. The main motive of these systems is to enhance the environment with various technology including sensors, processors, data sets and other devices connected across the globe through a network. This system can basically help in monitoring air quality which is necessary in the field of meteorological studies and movement factors. Also, these factors contribute a lot in air pollution. So, forecasting air quality index using an Intelligent Environment system includes a machine learning model in order to predict air quality index for NCR (National Capital Region). The values of major pollutants like SO₂, PM2.5, CO, PM10, NO₂, and O₃. In recent years, machine learning in most emerging technology for predicting on historical data with 99.99% of accuracy.

The authors’ team has implemented different machine learning algorithms of classification and regression techniques like Linear Regression, multiple linear regression, ...