Design and implement an application that enables train delay prediction using machine learning methods based on data from railway operators. First, existing solutions that provide train delay predictions should be researched, focusing on the methods and data sources. Then, obtain real train delay data for specific railway sections within the Czech Republic’s railway network, possibly including dependencies on track closures. Next, experiment with various machine learning algorithms and develop a model capable of predicting train delays with an acceptable accuracy based on the collected data and real-time information from railway operators (e.g., track closure announcements). Finally, a simple web application will be developed to present the model’s predictions.