This project demonstrates a simple next-word prediction system using Natural Language Processing concepts. The goal is to build an interactive data product that predicts the next word based on user input.

The prediction algorithm is based on simple pattern matching inspired by N-gram language models. Common word sequences are identified and mapped to the most likely next word. This approach is fast and suitable for real-time prediction.

The Shiny app allows users to enter a phrase in a text box. After clicking the predict button, the app displays the most likely next word. The app is deployed online using shinyapps.io.

The application is easy to use and responds quickly. Users can experiment with different phrases and instantly see predictions. The interface is clean and beginner-friendly.

This project shows how text prediction models can be turned into interactive web applications. It demonstrates practical use of R, Shiny, and NLP concepts in a real-world scenario.