A Decentralized IoT and Machine Learning Framework for Hyperlocal Cloudburst Prediction
1Dr. A. V. Santhosh Babu, Magesh Hariram K, Hariharan S, Sowmiya A, Nisha G
Cloudbursts are sudden and highly localized extreme rainfall events that occur within a short duration and often lead to flash floods, landslides, and severe infrastructure damage. These events are particularly dangerous in mountainous and high-risk regions where warning time is limited. Existing cloudburst prediction systems mainly rely on satellite imagery, weather radars, and large-scale meteorological models. Although these approaches provide regional forecasts, they often fail to deliver accurate hyperlocal predictions due to the lack of real-time ground-level environmental data. This limitation results in delayed warnings and reduces the effectiveness of disaster preparedness.

