The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit:

A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.

A slide deck consisting of no more than 5 slides created with R Studio Presenter (https://support.rstudio.com/hc/en-us/articles/200486468-Authoring-R-Presentations) pitching your algorithm and app as if you were presenting to your boss or an investor.

This is the final project of the Coursera Data Science Capstone. In this project, a Word Predictor application was creating using words or phrases that were most commonly used in Swiftkey. The Predictive word app was programmed in R Shiny. It is a simple app that demonstrates the basic and intermediate knowledge of Data Science; Loading and cleaning data, Extensive use of R Studio (R programming) and the execution and deployment of a app to a HTML domain.

The Next Word Predictor application goal is to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others.

The application utilized the principles of tidydata and data mining as it cleans raw data to help predict up to 6 words in a phrase. The data tokenize and then placed into N-grams, which where then utilized with R shiny to create an interactive interface.

To Use, simply type a word or phase into the the input box provided then press “Generate”. It should predict and show the next word which is most relevant or commonly utilized.

This link takes you to the Word Predictor interface: https://mvs-rahul.shinyapps.io/Data_Science_Capstone_Shiny_Application/

This link takes you to the github page: https://github.com/Mvs-Rahul/Data-Science-Capstone-Shiny-Application