This project presents a simple Shiny application that predicts the next word based on user input. The model uses a lightweight rule-based algorithm to generate fast and consistent predictions. The app demonstrates how predictive text can enhance typing efficiency and user experience. Potential applications include mobile keyboards, search engines, and writing assistants.

This report presents an exploratory data analysis of three English text datasets (blogs, news, and Twitter). It includes summary statistics, observations of word frequency and sentence length, and outlines a plan for building a predictive text model and a Shiny application.