Abstract In this study, predictive modelling techniques were utilized to assess the potential impacts of climatic conditions on the economy of Chhattisgarh, India. Owing to its diverse geography, Chhattisgarh encompasses multiple climatic zones, which increases its vulnerability to climate change and weather variability. Such susceptibility poses significant challenges to the economic sustainability of the state, especially in sectors like agriculture and natural resource-based industries. The researchers employed advanced forecasting methods and comprehensive machine learning models, drawing on extensive climate records and economic indicators, to project the effects of shifting weather patterns on key industries in the region. The findings offer valuable insights for policymakers, stakeholders, and community members, serving as both an informational resource and a foundation for developing strategies aimed at mitigating the adverse economic impacts of climate change in Chhattisgarh.
Sadhana Dewangan (Sat,) studied this question.
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