This report presents a simple n-gram-based text prediction model built using R. It includes data sampling, cleaning, tokenization, and creation of unigrams, bigrams, and trigrams from the SwiftKey dataset. The model uses backoff logic to predict the next word in a given phrase. This is part of the Coursera Data Science Capstone Project.