Analysis and Prediction of COVID-19 Cases in Pune Using Machine Learning Techniques

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Minakshi Bastapure
Chaitrali Nilvarn
Annapurna Gosavi
Pranjali More
Sandeep Kadam

Abstract

COVID has caused a major outbreak in the world. It has brought about the breakdown of the economy, significant over-burden in the well-being area, a break in the schooling system and lost lives, and so forth. To ensure that the condition of the world comes to a superior spot regarding work, money and well-being, controlling the outbreak has turned into a main concern. In this paper, ARIMA time series forecasting model is utilized to predict and forecast the assessment of the spread of COVID-19 contamination in the following week. We have taken the data of COVID-19 patients of the Pune district in India. The data is visualized in a simple-to-consume and interactive format. By and large, this paper can help experts and authorities control the COVID-19 outbreak by helping them gain alertness.

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How to Cite
Bastapure, M., Nilvarn, C., Gosavi, A., More, P., & Kadam, S. (2023). Analysis and Prediction of COVID-19 Cases in Pune Using Machine Learning Techniques. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 15(03), 360-363. https://doi.org/10.18090/samriddhi.v15i03.13
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