03/01/2024

Slide 1: Introduction

Overview of the Word Prediction App

  • Developed using Shiny in R.
  • Goal: Enhance user experience with intelligent word predictions.
  • Features: Text input, prediction button, and real-time output.

Slide 2: Current Implementation

Placeholder Prediction Function

  • The current predict_word function appends “placeholder” to the input phrase.
  • A basic demonstration to be replaced with a more sophisticated algorithm.

Slide 3: Potential Enhancements

Building a More Powerful Word Prediction App

  • Autocomplete suggestions based on advanced algorithms.
  • Spell checking and correction for improved accuracy.
  • Integration with external APIs for enhanced prediction models.

Slide 4: Use Cases

Practical Applications

  1. Writing Assistance: Improve content creation by suggesting relevant words and phrases.
  2. Language Learning: Aid learners in expanding their vocabulary in context.
  3. Code Autocompletion: Assist programmers in writing code more efficiently.

Slide 5: Future Developments

Roadmap for the Word Prediction App

  • Implement user customization for prediction models.
  • Real-time collaboration features for simultaneous document editing.
  • Accessibility improvements, including voice input and output.