• Girish G A
• Amir Anjum
• Ganesh
• Girija N Hegde
• Gowtham S V

The increasing frequency and intensity of extreme weather events, such as cloud bursts, pose significant challenges to communities worldwide. In response to this growing threat, we present a Cloud Burst Prediction System (CBPS) designed to enhance the timely and accurate prediction of cloud bursts, enabling proactive risk mitigation measures.. Key components of the CBPS include data preprocessing pipelines that collect and clean diverse datasets, ensuring the reliability of input information. Feature engineering techniques are employed to extract meaningful patterns and relationships from the complex atmospheric data. Machine learning models, such as neural networks and ensemble methods, are trained on historical weather data to learn the intricate dynamics leading to cloud burst events. The CBPS not only predicts the occurrence of cloud bursts but also provides spatial and temporal details, allowing for targeted interventions. The system integrates real-time data feeds to continuously update its predictions, enhancing accuracy and reliability. To facilitate user accessibility, a user-friendly interface is developed, enabling stakeholders, emergency responders, and the general public to access and interpret the prediction. Validation of the CBPS is performed using historical datasets, demonstrating its effectiveness in forecasting cloud burst events with a high degree of accuracy. The system's performance is compared to existing meteorological models, highlighting its potential to outperform traditional methods in terms of lead time and precision. In conclusion, the Cloud Burst Prediction System presented in this study represents a significant advancement in the field of weather forecasting. By harnessing the power of data-driven techniques and real-time information, the CBPS serves as a valuable tool for communities and authorities to prepare and respond effectively to the imminent threat of cloud bursts, ultimately contributing to the resilience of regions vulnerable to extreme weather events.

THE CLOUD BURST PREDICTION SYSTEM

"THE CLOUD BURST PREDICTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.363-366, May-2024, Available :http://www.jetir.org/papers/JETIRGG06057.pdf

"THE CLOUD BURST PREDICTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp363-366, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06057.pdf