Writing is repetitive. A useful prediction at the right moment can make it faster.

• NextWord accepts a phrase and predicts one likely next word.
• It turns a familiar smartphone feature into a clear, interactive demonstration.
• The design focuses on speed, simplicity and understandable results.
• Example: “I want to” becomes “I want to learn”.

1. The user’s phrase is cleaned, converted to lowercase and split into words.
2. The model searches for matching 4-gram patterns first.
3. If no match exists, it backs off to 3-gram, then 2-gram context.
4. The most frequent matching next word is returned.
5. A frequency fallback keeps the app responsive for unfamiliar phrases.

Why this approach? Longer context is usually more specific, while backoff improves coverage.

• One clear text field for any phrase.
• Six ready-made examples for quick testing.
• One-click prediction with the completed phrase shown immediately.
• A short model note explains which context level produced the answer.
• Responsive styling works on desktop and smaller screens.

Live application: Open the live NextWord app

Value

• Demonstrates an end-to-end data product: text input, modelling logic and a deployed interface.
• Makes prediction behaviour visible rather than presenting a black box.

Current limit

• The demonstration corpus is intentionally small, so unfamiliar phrases use a fallback.

Next step

• Train on a larger cleaned corpus, prune rare n-grams and benchmark prediction accuracy.

Try NextWord and see what comes next.