[This article belongs to Volume - 56, Issue - 01]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-08-02-2024-674

Title : Analysis and Predictive Modeling of COVID-19 Cases in Indian States Using Machine Learning
Dr. MANOJ KUMAR SINGH, Dr. Kishan Pal Singh, Basudeo Singh Roohani, Kapil Kumar Sharma, Yogita Kaushik, Dr. Devendra Kumar,

Abstract : The study and prediction modeling in this paper on COVID-19 cases in Indian states aims to comprehend the disease's occurrence, severity, and potential future developments. With its findings, the research hopes to help with decision-making, resource allocation, and public health initiatives. To obtain and examine pertinent data, the study combined positivist and pragmatic research approaches. Data came from reputable health organisations and official government databases, with an emphasis on verified instances among Indian citizens. The study and forecasting of COVID-19 cases among Indian people, in conclusion, provide important insights into the prevalence, severity, and future trends of the illness. This research emphasises the need for precise information, contextual comprehension, and teamwork to address the current COVID-19 crisis in Indian states. The execution of focused interventions and informed decision-making will benefit from ongoing study and analysis. In This paper, we are analyzing the future prediction in confirmed case and deaths cases, cured cases in year 2024.