Weather Prediction Model Using Satellite and Historical Data

I'll create a Next.js application that uses satellite imagery and historical weather data to predict weather patterns. This will demonstrate how to build a basic weather prediction model with visualization capabilities.

How This Weather Prediction Model Works

This Next.js application demonstrates a weather prediction system that combines satellite imagery with historical weather data to forecast weather patterns using AI. Here's how it works:

1. Data Collection: The system collects two main types of data:

   • Satellite imagery that captures cloud formations, atmospheric conditions, and weather patterns
   • Historical weather data spanning multiple years to identify trends and patterns

2. AI Model Architecture: The prediction model uses a hybrid neural network approach:

   • Convolutional Neural Networks (CNNs) process satellite imagery to extract spatial features
   • Long Short-Term Memory (LSTM) networks analyze temporal patterns in historical data
   • A fusion layer combines these features to generate comprehensive predictions

3. Visualization: The dashboard provides:

   • Interactive charts showing temperature, precipitation, and humidity forecasts
   • A weather map displaying current conditions and predictions
   • Detailed metrics on model performance and accuracy

4. Model Training: The system continuously improves by:

   • Training on new satellite data as it becomes available
   • Incorporating recent weather measurements to refine predictions
   • Evaluating performance against actual weather outcomes

This application serves as a demonstration of how AI can be applied to weather forecasting, combining multiple data sources to create more accurate predictions than traditional methods.