• Typing on mobile devices is slow.
• Auto-suggestions are often inaccurate.
• A better model improves speed & accuracy.

• Uses quadgrams, trigrams, bigrams, and unigrams.
• Looks at the most common word sequences from text data.
• If no match is found, it falls back to simpler models.

- User types "I want to" - Model predicts "go" (e.g., "I want to go") - Try the live app: [https://villadsj.shinyapps.io/WordPredict/]

• Helps users type faster and reduce errors.
• Can be integrated into messaging apps.
• Future expansion: multilingual support & AI training.