NONE 20260721110040372 wseas/wseas content-registration-form@crossref.org content-registration-form International Journal of Applied Sciences & Development 2945-0454 Rajesh Kumar Mishra ICFRE-Tropical Forest Research Institute (Ministry of Environment, Forests & Climate Change, Govt. of India) P.O. RFRC, Mandla Road, Jabalpur, MP-482021, INDIA Divyansh Mishra Department of Artificial Intelligence and Data Science Jabalpur Engineering College, Jabalpur (MP) INDIA Rekha Agarwal Government Science College Jabalpur, MP, INDIA Space weather prediction remains a grand challenge due to the nonlinear, multiscale coupling between solar activity, the heliosphere, and Earth’s magnetosphere-ionosphere-thermosphere system. Over the past decade, artificial intelligence (AI) and machine learning (ML) have emerged as powerful complements to physics-based models, offering improved forecast skill, reduced latency, and probabilistic decision support. 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