Welcome to the Next Word Prediction App!

• Goal: To create a smart keyboard-like text prediction model.
• Concept: The app analyzes what you type and instantly guesses the most logical next word.
• Outcome: A web-based Shiny application that provides an interactive user experience.

How does the prediction work?

• N-Gram Model Concept: The foundation relies on breaking down text into sequences (Unigrams, Bigrams, Trigrams).
• Conditional Logic: The backend reads the user’s string, cleans it, and matches it against specific conditions to trigger the right prediction.
• Efficiency: The code is structured to process the text and return results instantly.

The interface is built to be extremely simple and user-friendly.

• Step 1: Open the application URL.
• Step 2: Locate the text input box on the left panel.
• Step 3: Type a phrase (e.g., “how are” or “i am”).
• Step 4: Click the red “Predict Next Word” button.

A good algorithm needs a good user interface.

• Clean UI: Developed using R Shiny with custom CSS to give it a modern, colorful look.
• Interactive: Highlights the predicted word in a distinct green box for better readability.
• Performance: Hosted on shinyapps.io, ensuring smooth and reliable access.

Thank you for reviewing my project!

• The app successfully demonstrates practical Natural Language Processing and web deployment skills.
• Try the App Here: [https://vaibhav-predict-app.shinyapps.io/WordPredictor/]