• This is the application built in ShinyApp for predicting next word inline.

• The database of words is received from the https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip

• NGram Techniques are used for prediction.

• Data Gathering : Data is collected from Coursera-Swiftkey in the form text files.

• Data Cleanup : Data cleanup techniques applied for removing unwanted elements.

• Data Sampling : Reducing the data size by using Sampling techniques for faster processing.

• Prediction Algorithm : NGram technique is used for predicting word next inline

• Git Hub Files location : https://github.com/shaileshsparab/DataCapstone

• Shiny App files ui.R : Funcions for App front end Server.R : Functions for calling prediction functions afetr triggering events on Application page.

• Word Prediction functions WordPrediction.R : NGram techniques Functions for predicting functions

• Data Cleanup functions NGram.R : Accessing data files and preparing sample files RDS.

Applink : https://shaileshparab.shinyapps.io/DataCapstoneWeek7Assignment/