Climate change has a significant impact on the health of the world’s population, particularly because vectors that spread diseases breed more due to its effects. Some of the diseases transmitted by vectors include Dengue fever, Malaria, as well as Chikungunya. This study examines how climate change is related to vector-borne diseases (VBDs) in India through artificial intelligence and data visualization methods. The present work has used extensive data on disease incidence and climate to show that there is a strong relationship between seasonal climatic changes such as monsoons and upsurge in VBD cases. The unpredictability of monsoon rain complicates forecasting of these outbreaks. With models from Artificial Intelligence (AI), we could recognize patterns and give some predictions illustrating how much this technology can help monitor public health issues. The necessity for strategies that adapt to VBD management like controlling mosquito populations, creating awareness on public health matters, and improving infrastructure is emphasized by our discoveries. It has been delineated in this study how climate change-induced health hazards can be countered by using combined approaches of climatology together with a knowledge base from epidemiology besides AI.