09/09/2024

Slide 1: Introduction

  • Title: Word Prediction App
  • Objective: To present an innovative app for predicting the next word based on user input.
  • Target Audience: Businesses and researchers looking for advanced text prediction solutions.

Slide 2: The Algorithm

  • Algorithm:
    • Utilizes a dictionary of common words, phrases, numbers, and salutations.
    • Employs an n-gram model to predict the next word.
    • Provides suggestions based on the input text.
  • Benefits:
    • Enhances user experience with fast and accurate predictions.
    • Easy integration with various applications and platforms.

Slide 3: The Shiny App

  • Features:
    • User-friendly interface with a text input box.
    • Predicts the next word when the user clicks “Predict Next Word”.
    • Displays predictions based on an extensive dictionary.
  • Demo:
    • Live demo of the app.
    • Examples of word predictions in action.

Slide 4: Technical Details

  • Technology:
    • Built with R and Shiny.
    • Utilizes the quanteda package for text processing and prediction.
  • Challenges:
    • Handling large dictionaries and ensuring quick responses.
    • Continuous updates to improve prediction accuracy.

Slide 5: Next Steps

  • Development:
    • Add more words and phrases to enhance prediction accuracy.
    • Improve the app’s performance and scalability.
  • Implementation:
    • Explore potential markets and application areas.
    • Gather feedback for further enhancements.
  • Contact:

Slide 6: Thank you