One of the most terrible real disasters for infrastructure, human life, and other economic property is seismic hazard. Researchers have been working to determine the best way to predict earthquakes and reduce fatalities so that lives can be saved. A variety of mathematical, statistical, and machine learning techniques are used to predict the frequency rate of earthquakes by using historical and geodetical data. India experienced a high frequency rate of earthquakes (magnitude greater than 8.0) over the last 120 years. India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka are all part of the greater India region, which is extremely vulnerable to earthquakes. Its location at the meeting point of the Indian and Eurasian plates poses a high risk of earthquakes because of their frequently occurring earthquakes are caused by movement. The objective of this research is to critically examine Indian earthquakes and analyse their various impacts in various regions.

Seismic Risk, Prediction, Statistical Method, Machine Learning Method