Title

Next-Word Prediction App

Nikhil Nilesh
Date: 2025-10-11

Problem / Opportunity

• Typing on mobile and desktop is slow and error-prone.
  
• Users want smart predictions for faster communication.
  
• Opportunity: predictive text apps improve productivity and user engagement.

Algorithm Overview

• Based on n-gram frequency analysis (bigram & trigram).
  
• Backoff strategy:
  1. Try trigram match (last 2 words)
     
  2. Fallback to bigram (last word)
     
  3. Fallback to most frequent unigram
     
• Case-insensitive matching ensures robust predictions.
  
• Lightweight and scalable for Shiny deployment.

App Demo / Features

• Shiny app accepts a phrase input and predicts the next word.
  
• Real-time predictions with instant feedback.
  
• Easy to deploy via shinyapps.io
  
• Sample use cases:
  • Messaging apps
    
  • Email composition
    
  • Smart keyboards

Impact & Next Steps

• Improves typing speed and accuracy
  
• Can be extended with larger n-gram models or ML-based predictors
  
• Potential business applications:
  • Mobile keyboards
    
  • Email assistants
    
  • Customer support chatbots
    
• Next steps: integrate user personalization, mobile deployment