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Statewise Climate Trends: Understanding Weather Patterns

Aditya ., G. Gayathri, P. Poornima, G. Naga. Sujini, Dr. K. Sreekala, Dr. A. Nagesh

Abstract


Weather plays a crucial role in daily life, influencing transportation, agriculture, health, and disaster preparedness. This real-time project aims to develop a dynamic weather monitoring system that provides accurate, up-to-date weather conditions for different states. By integrating APIs from meteorological sources, the system collects data on temperature, humidity, precipitation, wind speed, and other essential parameters.

The project leverages technologies such as html, JavaScript, and cloud-based databases to process and visualize real-time weather data through an interactive dashboard. It also incorporates machine learning algorithms for predictive analysis, offering short-term weather forecasts. Users can access weather insights via a web or mobile application, ensuring accessibility and convenience.

This system benefits travelers, farmers, emergency responders, and policymakers by providing real-time alerts on extreme weather events like storms, heatwaves, and heavy rainfall. The project highlights the significance of real-time data integration, cloud computing, and AI-driven analytics in weather prediction and climate research.


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References


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