Missing Data Handling: Write scripts to fill in missing data points with realistic randomized values, such as estimating aircraft types and max altitudes.
Population-Based Mapping: Use population data to estimate city light intensities for night-time visualization. The reason we want this is because with the time lapse, when night time comes, we want to add the lights dynamically in a shader. This would ideally be a normalized value (something like 0 => 1 or 0 => 100).
For the front-end numbers: Calculate each flight distance, CO2 emissions and duration and sum it up in the JSON file.
A challenge
Flight Delay Predictions: Use libraries like scikit-learn or TensorFlow to build models that predict flight delays based on historical data, weather conditions, and other variables.
Requirements
A challenge