• Chhaya Gupta
• Kirti Sharma

COVID – 19 (2019 novel coronavirus) which started in China had spread all over the world rapidly. It is the worst health crisis, the whole world has suffered since World War II. India reported its first COVID-19 positive case on 30 January 2020 in Kerala. It grew to 3 cases by 3 February 2020. The number of cases in India kept on increasing, and the virus is spreading widely. All necessary steps have been taken care of by the government of India to make sure that India is ready to face the challenge of the COVID-19 pandemic. The major step is to provide the right information to the citizens to take precautions. This paper is an effort to analyze the cumulative data of confirmed COVID-19 positives, deaths due to COVID-19, and recovered cases. This paper also examines the spread trend of this deadly virus in India. This paper compares different groups of people based on their gender and different age groups in India. This paper provides an overview of various Indian states with many COVID-19 positive cases, and all this data comes from the Kaggle online repository for datasets and the Ministry of Health & Family Welfare India. This paper uses Regression and classification machine learning models such as Linear Regression, Logistic Regression, Decision Tree Regressor, and Random Forest Classifier to analyse the data from the different datasets available to predict the area/state/union territory with an increase in the number of COVID-19 cases. The results show that the decision tree gave 99% accuracy in identifying COVID-19 positive cases.

"Applications of Image Processing and Machine Learning to Detect COVID-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d656-d663, June-2022, Available :http://www.jetir.org/papers/JETIR2206383.pdf

"Applications of Image Processing and Machine Learning to Detect COVID-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd656-d663, June-2022, Available at : http://www.jetir.org/papers/JETIR2206383.pdf