TODO.md

Potential next steps we could consider:

1. Enhance the visualization:

   • Add more interactive elements like tooltips or clickable elements
   • Implement a time series chart to show temperature trends over multiple months or years
   • Create a heatmap visualization to show temperature distribution across different latitudes and longitudes

2. Expand data retrieval:

   • Allow users to select different climate variables (e.g., precipitation, wind speed)
   • Implement date range selection for fetching data over longer periods

3. Improve the user interface:

   • Create a more polished frontend with CSS frameworks like Bootstrap or Tailwind
   • Add form inputs for users to select the year, month, and climate variables they want to visualize

4. Implement additional data analysis:

   • Add statistical analysis tools, such as trend detection or anomaly highlighting
   • Incorporate machine learning models for temperature prediction

5. Optimize performance:

   • Implement server-side rendering for faster initial page loads
   • Use web workers for data processing to keep the UI responsive

6. Add more robust error handling and user feedback:

   • Implement loading indicators while data is being fetched or processed
   • Provide more detailed error messages and suggestions for troubleshooting

7. AI Integration:

   • Generate forecasts
   • Detect anomalies

8. Documentation:

   • Create API documentation using tools like Swagger UI (which FastAPI supports out of the box).