Problem: Existing weather applications typically offer forecasts only 1-2 weeks in advance for many locations. This is a significant issue for anyone planning an outdoor event, such as a parade, wedding, or group hike, several months ahead. The lack of reliable long-term forecasts forces organizers to make decisions based on high uncertainty.
Solution: We will create an application that utilizes an advanced weather prediction model based on the analysis of diverse satellite data. The application will feature a page for generating a detailed report for the user on the anticipated conditions at the selected location and time, with a multi-month lead time, with an AI Chat enabling the user to ask questions and discuss the displayed conditions, their potential impact on the event, and suggest alternatives.
Data usage:
From copernicus site about climate and atmosphere.
Technologies:
- Python (Tensorflow) and R for LSTM model
- API key for Gemini and weather data
How it links with the challenge 3#:
The Weather Assistant app connects space technology with AI to make travel smarter and more sustainable.
It links with the challenge by turning satellite data and AI forecasting into tools for personalized, safe, and environmentally conscious travel experiences.