Predicting the next word improves typing speed and user experience.
It is useful in keyboards, chat interfaces, and smart assistants.

I used a small sample corpus of sentences.
Text was cleaned and tokenized.
Bigram pairs were generated.

Built a bigram frequency model.
For each input phrase, the last word is matched.
The most frequent next word from bigram data is returned.
A backoff message is shown if no match is found.

User enters a phrase.
The app predicts the next word instantly using a Shiny interface.

Simple and fast NLP application.
Demonstrates end-to-end model building and deployment.
Can be extended to larger datasets and advanced models.