Final Data Science Capstone Project

• Live app: https://lylxg1-fahad-sudheer0kannu.shinyapps.io/final_project2/
• Created for the Coursera Data Science Capstone
• Predicts the next word for a given English phrase using NLP

• Uses the N-gram model (specifically, trigrams)
  • Trains on a small sample corpus of English sentences
  • Breaks sentences into 3-word sequences (“trigrams”)
  • When a user enters two words, the app searches for matching trigrams to predict the next word
• Algorithm chooses the most frequent matching next word

• Open the app link
• Enter a phrase of at least two words (e.g., “I love”)
• Click “Predict Next Word”
• The app displays its prediction instantly!

Examples: - I love → data - machine learning → is - books are → sources

• Learned to deploy Shiny apps publicly using shinyapps.io
• Overcame technical issues with R versions and package dependencies
• Gained hands-on experience with text prediction using N-gram models
• Realized the importance of clean data and reproducible environments
• If I had more time/data, I’d train on a much larger corpus for improved accuracy

• Easy to use, responsive, and demonstrates the fundamentals of NLP
• Clean, simple code—ready for further development
• I’m confident in deploying real data science products
• Would love to take this further with larger datasets, better models, or as part of a real product team

Thank you for viewing my project!