9th International Conference on ICT for Sustainable Development

Authors - Ruchi Sharma, Aniket Bhardwaj, V.K. Chandana, Manju Vyas, Nidhi Tiwari
Abstract - Earthquakes, as perilous natural calamities, have been a significant reason for casualties caused around the world. If predicted accurately, it can offer a valuable window of time to make substantial preparations, safeguarding several lives around seismic-prone regions. India has been observing an increase in the frequency of earthquakes of varying magnitudes, particularly around the northern plains. Although, there have been multiple studies performed on predictions of epicenters and magnitude yet only a few are based on the Indian Subcontinent Dataset. This study aims to give predictions of magnitudes and possible epicenters with higher accuracy and precision. In this paper, we use applications of various advanced technologies including metaheuristics mathematical analysis, machine learning models and deep learning models to analyze the dataset to predict course of earthquakes occurring within or in the vicinity of India.