Weather information is often distributed through multiple portals, bulletins, satellite products, and forecast systems, making it difficult for common users, researchers, disaster managers, and government agencies to quickly obtain actionable insights. There is a need for an intelligent conversational system that can provide real-time weather information, forecasts, warnings, climate analysis, and decision support in natural language. • Objective Develop an AI-powered chatbot system named We
• Background Weather information is often distributed through multiple portals, bulletins, satellite products, and forecast systems, making it difficult for common users, researchers, disaster managers, and...
Weather information is often distributed through multiple portals, bulletins, satellite products, and forecast systems, making it difficult for common users, researchers, disaster managers, and... Objective Develop an AI-powered chatbot system named We
• Background Weather information is often distributed through multiple portals, bulletins, satellite products, and forecast systems, making it difficult for common users, researchers, disaster managers, and government agencies to quickly obtain actionable insights. There is a need for an intelligent conversational system that can provide real-time weather information, forecasts, warnings, climate analysis, and decision support in natural language. • Objective Develop an AI-powered chatbot system named WeatherGPT that integrates meteorological datasets, forecasting models, and disaster warning systems to provide accurate, contextual, and multilingual weather intelligence through conversational interfaces. • Key Features 1. Real-time weather information retrieval. 2. Natural language que