This presentation showcases a Shiny app that predicts the next word in a user-entered phrase using a probabilistic n-gram model. It highlights the problem of slow typing and the need for word suggestions, explains the algorithm behind the predictions, demonstrates the app with a screenshot, and concludes with the user experience and potential applications in AI writing assistants and productivity tools.

The purpose of this project is to demonstrate familiarity with handling large text datasets and to prepare for building a text prediction algorithm and Shiny application. This report presents an exploratory analysis of three English-language datasets: Blogs, Twitter, and News. The focus is on understanding the size, structure, and basic characteristics of the data rather than developing a final model.