an automated weather prediction system to address the challenge of unreliable weather forecasts, which impact agriculture, disaster preparedness, and daily activities in our community. Many farmers struggle with unpredictable weather patterns, leading to crop losses and food insecurity.
To solve this, we are developing a sensor-based system that collects real-time data on temperature, humidity, and rainfall. Using AI and machine learning, it analyzes patterns and delivers accurate, localized forecasts via SMS and mobile apps. This system helps farmers plan efficiently, reduces climate-related risks, and enhances sustainability and resilience in agriculture and disaster management.
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