Next-Word Prediction App

A lightweight next-word prediction app that suggests the most likely next word as the user types.

• Goal: reduce typing effort and time
• Built in R, using n-gram language models
• Deployed as an interactive Shiny web app

Typing on phones and web forms is slow and error-prone.

• Users expect smart suggestions like modern phone keyboards
• Faster typing → higher user satisfaction and productivity
• For a company, better UX keeps users engaged and reduces churn
• Can be embedded into chatbots, internal tools, and customer apps

We use real-world English text from blogs, news, and Twitter.

• Source: Coursera HC Corpora (en_US blogs, news, Twitter)
• Cleaning: lower-casing, removing URLs, punctuation, and extra spaces
• Modeling: unigram, bigram, and trigram n-gram models
• Backoff strategy: try trigram → if not found, use bigram → then unigram
• Balanced for accuracy vs. speed so it can run in real time

The app behaves like a smart keyboard in the browser.

• User types a phrase into a text box
• App instantly suggests the next word
• Top 3 predictions shown as clickable buttons
• Built with Shiny → easy to deploy and integrate
• Lightweight: can run on modest servers or locally

Why this is attractive for a boss or investor:

• Improves productivity for staff who type repetitive text
• Can be customized for specific domains (support, legal, medical)
• Reusable engine: plug into multiple products and platforms

Next steps:

• Add personalization based on user history
• Support additional languages and domain-specific models
• Integrate into existing company web and mobile applications