• Rikesh Bhakta
• Asst. Prof. Dhramendrasinh Rathod

Abstract—The earthquake early warning system uses a high- speed computer network to transmit information about earth- quakes to the population center prior to the arrival of destructive seismic waves. Traditional EEW seismometric methods do not accurately identify large earthquakes due to their sensitivity to the speed of ground movement. Precision GPS stations, on the other hand, are ineffective in identifying average earthquakes due to their tendency to generate noisy data. An early warning system is primarily required to set off an alarm so that critical facilities can be evacuated or closed, rather than determining the exact parameters of the earthquake. There- fore, the early warning system must be carried out independently and the government and other authorities must immediately publish accurate information on earthquakes.

"Early Earthquake Warning Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b962-b967, September-2022, Available :http://www.jetir.org/papers/JETIR2209220.pdf

"Early Earthquake Warning Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb962-b967, September-2022, Available at : http://www.jetir.org/papers/JETIR2209220.pdf