The model predicts the most likely next word and is deployed through a Shiny web application for real-time use.

This project demonstrates a **Next Word Prediction** model built using text data from blogs, news, and Twitter (SwiftKey dataset)

This project is the final data product for the Coursera Data Science Capstone. The goal is to build a Next Word Prediction model using text data from blogs, news, and Twitter. A Shiny web application was developed to demonstrate the model in real time.

This report provides an exploratory analysis of the SwiftKey dataset, which contains text from blogs, news articles, and Twitter messages. The goal is to understand the basic structure of the data before building a next-word prediction model and Shiny app.