Cloudburst Prediction system

Cloudburst Prediction system

Elluru Sowmya , Lakshmi Keerthana , Vyshnavi G N

Problem statement
analyzing meteorological parameters and weather patterns can provide valuable information for predicting the possibility of cloudbursts. Local meteorological agencies and weather forecasting organizations.

ABSTRACT
Cloudbursts are precipitation occurrences that are sudden and extremely intense, capable of producing catastrophic outcomes, especially in understudied and delicate topography. Effective forecasting of such occurrences is essential for proactive disaster planning and mitigation. This project describes creating a mobile application in react native that interfaces with local meteorological stations and other automated weather stations to assess the possibility of cloudbursts by analyzing weather parameters. The app fetches real-time information from local meteorological institutions and weather prediction services to keep track of humidity levels, barometric pressure, temperature, and rainfall. Employing some predictive algorithms and pattern recognition methods, the application will notify users of possible cloudburst situations. The ability to deliver hyper proactive weather information to users on both iOS and Android mobile devices is made possible by the cross platform features of React Native. This approach is expected to improve the safety of people and enhance the planning of emergency responses based on automated weather forecasting.