A method for predicting anomalies. An input image of a location on a platform at a reference time frame, a future time frame, and platform data from the reference time frame to the future time frame are identified. An output image of the location with a number of parameters for an anomaly at the location on the platform is generated using the input image, the reference time frame, the future time frame, the platform data, and the anomaly analysis system in response to identifying the input image, the future time frame, and the platform data. The anomaly analysis system comprises a machine learning model system configured to output images of locations on platforms with parameters predicted for anomalies on platforms for future time frames. A number of actions is performed based on the output image output image of the location with the number of parameters for the anomaly.