This project demonstrates a Next Word Prediction system using Artificial Intelligence concepts.

The application predicts the next word based on user input and displays the result instantly using a Shiny web interface.

Typing text repeatedly can be slow and inefficient.

Users often write the same words and phrases again and again.

A next word prediction system helps reduce effort, save time, and improve user experience.

The algorithm processes the input text and identifies the last word entered by the user.

If a known word pattern exists, the system predicts the most likely next word.

If no pattern is found, a word is selected from a predefined vocabulary of about 100 words.

The application is built using R Shiny.

Features include:

• Text input for phrases
• Instant next-word prediction
• Clean and colorful interface
• Browser-based access

This project demonstrates how simple language models can be converted into interactive products.

Future improvements may include:

• Larger real-world datasets
• Advanced n-gram models
• Multiple word predictions
• Personalized suggestions