Air Quality analysis and controlling have been a major issue for various developing countries as it, directly and indirectly, affects the health of the country’s citizens. Air quality analysis is the major factor for determining the pollution of any particular city and tells how well the city’s industries and pollution are managed. Air pollution causes noticeable damage to the environment as well as to human health resulting in acid rain, global warming, heart diseases and skin cancer to the people. This paper presents the study of air components like NO2, SO2, and SPM readings and their air quality index of various cities of India affects the air of that city by applying various machine learning algorithms to predict the trends in India AQI. Keywords: Air Quality Analysis, Machine learning, Air quality index, NO2, SO2.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
NON IEEE -2021