Next Word Prediction App

Sanny Garin Jr - Data Science Capstone Project
December 06, 2025

A Smart Text Prediction Solution Using N-gram Language Models

The Problem

Typing on mobile devices is inefficient and error-prone

  • Users spend significant time typing on smartphones and tablets
  • Autocorrect helps with spelling, but predicting the next word saves more time
  • Current solutions often lack accuracy or personalization

πŸ’‘ Solution: An intelligent next-word prediction app

Our Solution: N-gram Language Model

Algorithm Overview

N-gram Model with Intelligent Backoff Strategy

# Prediction Logic
if (trigram matches) β†’ Use trigram probability
else if (bigram matches) β†’ Use bigram probability  
else β†’ Use unigram frequency

Key Features

  • βœ… Laplace Smoothing - Handles unseen word combinations
  • βœ… Smart Text Processing - Removes noise, keeps meaningful words
  • βœ… Fast Predictions - Optimized data structures for speed
  • βœ… Trained on Real Data - English blogs, news, and social media

Technical Specs

  • Training Corpus: 5% sample (~200K+ lines)
  • Vocabulary Size: 50K+ unique words
  • Model Size: <100 MB (compact & efficient)
  • Prediction Time: <100ms (real-time)

The App: User Experience

Simple, Intuitive, Powerful

User Interface Features

**Input** - Type any text or phrase - Adjustable prediction count (1-10) - One-click predictions
**Output** - Top N predicted words - Ranked by probability - Clean, visual display
Example:
Input: β€œI want to”
Predictions: β€œgo”, β€œsee”, β€œbe”, β€œknow”, β€œget”

Technology Stack

  • R Language - Statistical computing
  • Shiny - Interactive web framework
  • Tidyverse - Data processing
  • Responsive Design - Works on all devices

Business Value & Next Steps

Roadmap

  1. Phase 1 βœ… - Core model & app (Complete)
  2. Phase 2 πŸ”„ - User testing & optimization (In Progress)
  3. Phase 3 πŸ“‹ - Multi-language support (Planned)
  4. Phase 4 πŸ“‹ - Mobile app integration (Q2 2026)

Benefit

  • Time Savings - 30-40% faster typing
  • Improved Accuracy - Fewer typing errors
  • User Engagement - Better user experience
  • Scalability - Easy deployment & updates

Let’s revolutionize mobile typing together! πŸš€

Click Here to Try!