2025-01-08

Slide 1: Introduction

The Problem

  • Typing errors reduce productivity.
  • Slow typing creates frustration.
  • Need for smarter text input systems.

Slide 2: The Solution

Next Word Prediction App

  • Real-time predictions: Suggests the next word as you type.
  • Powered by AI: Unigram model with scalable architecture.
  • User-friendly: Built using R Shiny.

Slide 3: How It Works

  1. Input: User types a phrase.
  2. Prediction: Algorithm predicts the most likely next word.
  3. Output: Displays the prediction in real-time.

Core Components: - Algorithm: Basic unigram model. - Framework: R Shiny and tidyverse. - Deployment: shinyapps.io for accessibility.

Slide 4: Roadmap

  1. Enhance algorithm accuracy with advanced NLP models.
  2. Add multilingual support for diverse users.
  3. Integrate with mobile and desktop platforms.
  4. Scale for commercial use in text editing software.

Slide 5: Call to Action

Why Invest in Our App?

  • Scalable AI solution for global productivity tools.
  • Proven demand for smart typing assistance.
  • Opportunity: Early-stage investment in cutting-edge NLP tech.

Try the app now: Shiny App Link