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
1.
Bastapure M, Nilvarn C, Gosavi A, More P, Kadam S. Analysis and Prediction of COVID-19 Cases in Pune Using Machine Learning Techniques. sms [Internet]. 23Nov.2023 [cited 25Apr.2025];15(03):360-3. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/2673
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