Slide 1: Project Overview

• A Shiny app that predicts the next word in a phrase.
• Built using R, Shiny, dplyr, and tidytext.
• Lightweight bigram-based prediction model.

Slide 2: Prediction Algorithm

• Text cleaning and tokenization with tidytext.
• Constructed bigram frequency table from corpus.
• Predicts the next word using most common bigram match.

Slide 3: How the App Works

1. User enters a phrase into the input box.
2. On clicking Predict, the app processes the last word.
3. The app returns the most likely next word based on bigram frequency.

Slide 4: Instructions

• Try entering phrases like:
  • I love
  • The weather is
  • We need
• Click Predict
• See the predicted next word instantly.

Slide 5: Summary

• ✅ Lightweight and fast
• ✅ Easy to use interface
• ✅ Hosted on shinyapps.io
• ✅ Slide deck shared via RPubs
• Ideal for MVPs or quick NLP demos