Typing text repeatedly can be slow and inefficient.

Predicting the next word helps: - Speed up typing - Improve user experience - Enable smart text systems

This project builds a next-word prediction app using Natural Language Processing.

• Text data sourced from:
  • Twitter
  • News articles
  • Blogs
• Used N-gram language models
  • Unigram
  • Bigram
  • Trigram
• Prediction strategy:
  • Match last words of input
  • Choose most frequent next word

• Built using R Shiny
• User enters a phrase
• Clicks Predict
• App returns one predicted word

Features: - Simple UI - Fast response - Deployed online

1. User types a phrase
2. Text is cleaned & tokenized
3. N-gram tables are searched
4. Best next word is returned

Live Demo: https://w95m29-jayashree-p.shinyapps.io/project/

• Successfully built a predictive text system
• Demonstrates NLP + Shiny deployment
• Can be extended with:
  • Larger datasets
  • Better smoothing
  • Mobile integration

Thank you!