This is an R HTML document. When you click the Knit HTML button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

title: "Next Word Predictor App" author: "Your Name" date: "July 2025" output: ioslides_presentation css: | body, .slide { background-color: white !important; color: black !important; font-family: Arial, sans-serif; } # Overview - Goal: Predict the next word from a user-entered phrase. - Built using Python and Shiny framework. - Hosted on shinyapps.io for easy sharing. # Algorithm - Simple rule-based logic for demonstration: Ends with "hello" → "world" Ends with "good" → "morning" - Designed to be extended with machine learning. # App Features - Text input box to enter phrases. - Displays predicted next word instantly. - Responsive and user-friendly interface. # Example Predictions "How are you" → **doing** "The sun is" → **shining** "I love to" → **code** Provides instant feedback for each phrase. # Conclusion & Next Steps - Functional prototype meeting project goals. - Plans to add advanced ML/NLP techniques. - Published app and slides for stakeholders.