• Muskan Tanna
• Diksha Ramnani
• Nikita Samtrai
• Kajal Jewani

In this paper, prediction of weather and air pollution along with ozone level detection is to be done. Although many factors combine to influence weather, but the major contribution is done by parameters such as temperature, heat index, dew point etc. Air quality is majorly determined by pollutants such as SO2, NO2, PM2.5, PM10 etc. The prediction is done on the basis of historical data. Ozone variability and trends are dependent on temperature, wind speed, humidity, precipitation to determine whether a day is Ozone day or Non- Ozone day. The results will show the effectiveness of Machine Learning techniques when predicting the weather and pollution.

Weather, Machine learning, prediction, ozone, pollution, temperature, windspeed.

"Weather, Pollution Prediction and Ozone Level Detection Using ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.239-243, October-2021, Available :http://www.jetir.org/papers/JETIRFD06036.pdf

"Weather, Pollution Prediction and Ozone Level Detection Using ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp239-243, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06036.pdf