Author: S. Raj, Kiran; Kumar, Priyanka
Title: Application to Predict the Impact of COVID-19 in India Using Deep Learning Cord-id: telwt3s0 Document date: 2021_3_22
ID: telwt3s0
Snippet: The COVID-19 pandemic has hit almost all the parts of the world. Originating in Wuhan, China, to spreading all across the world, it is safe to say now that the pandemic has shocked the people. Despite all the advancements in medicine and science, it is quite frankly a realization to the world that a virus can rip apart everyone’s lives [1]. The USA, being the worst impacted by the same [2], countries like India are experiencing the growth of the virus rapidly. From social distancing to living
Document: The COVID-19 pandemic has hit almost all the parts of the world. Originating in Wuhan, China, to spreading all across the world, it is safe to say now that the pandemic has shocked the people. Despite all the advancements in medicine and science, it is quite frankly a realization to the world that a virus can rip apart everyone’s lives [1]. The USA, being the worst impacted by the same [2], countries like India are experiencing the growth of the virus rapidly. From social distancing to living with the virus, we humans are finding out different ways to survive this pandemic and return to normalcy. The importance of understanding the situation reels’ core to the lives of everyone. In this chapter, we keep update about the change in events, cases reported, people deceased, people recovered, contact for essential service, the current status of the state/country is essential to provide a system that people could depend on during the time of the pandemic. This research works on the core principle of providing real-time information to the people, by supplementing it with the state-wise report, national reports, essential services, and contacts provided by the state. This chapter also explains the power of AI/ML which will predict how the cases would progress in the coming days. The model used details of a convolutional neural network to predict the spread of the pandemic, hence gives an idea of how the pandemic would spread with a close approximation to the real-world data.
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