Objective:
Develop a web-based app that predicts the next word in a sentence, simulating smart keyboard or chatbot behavior.

• Product:
  A Shiny app where users enter a phrase and receive a next-word prediction instantly.

• Use Case:
  Streamline communication in digital platforms and showcase advanced language modeling skills.

Model:
Utilizes a Stupid Backoff n-gram algorithm trained on Twitter, blog, and news corpora.

• How It Works:
  Cleans and tokenizes input; analyzes up to four previous words to determine the statistically most probable next word using n-gram frequency tables.

• Strengths:
  Fast, lightweight, and robust for varied real-world English input.

• Features:
  • Accessible via Shinyapps.io (live link).
  • Simple text input box for phrase entry.
  • “Submit” button to generate prediction.
• Instructions:
  1. Visit the app’s link.
  2. Enter a partial phrase (e.g., “The future of AI is”).
  3. Press submit; the predicted next word appears instantly.
• Tested With:
  Five authentic phrases from social media/news—returns a prediction for each.

• Interface:
  Intuitive, clean, and responsive — requires no technical background.

• Performance:
  Predicts rapidly with minimal delay, even for complex or unusual phrases.

• Reliability:
  Handles slang, typos, and incomplete sentences with real-world accuracy.

• Innovation:
  Combines speed and accuracy with a scalable backend, ready for real deployment.

• Applications:
  Chatbots, smart keyboards, assistive tech, automated writing.

• Business Value:
  Enhances user engagement, demonstrates advanced NLP, and enables further product development.

• Would you hire?
  This project shows technical skill, application awareness, and effective communication to stakeholders.

  This project shows technical skill, application awareness, and effective communication to stakeholders.