• Darsh Pandya
• Harsh Shah

People all across the world are aware of the disadvantages of air pollution. Polluted air can trigger throat discomfort, itchy eyes and nose, and other significant problems in people who are hypersensitive. The number of people who have died as a result of polluted air has increased dramatically in recent years. Sensors are employed in this article to monitor air pollutants such as carbon monoxide, methane or natural gas, LPG, and air quality in various regions of the city. Furthermore, the values discovered are then used to produce forecasts regarding future values. Deep neural networks and the Internet of Things have made it possible to detect and estimate the amount of pollution in the air.

PREDICTION OF AIR POLLUTION USING DEEP LEARNING MODEL

"PREDICTION OF AIR POLLUTION USING DEEP LEARNING MODEL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c128-c135, September-2022, Available :http://www.jetir.org/papers/JETIR2209234.pdf

"PREDICTION OF AIR POLLUTION USING DEEP LEARNING MODEL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc128-c135, September-2022, Available at : http://www.jetir.org/papers/JETIR2209234.pdf