This presentation is created to present the final assignment for the Data Sciences Capstone Course, from Coursera course.

The goal of the project is to build a predictive text model. The model will be implemented with a shiny app UI that will predict the next word as the user types a sentence.

It is intended to simulate the functionality of the keyboards of current smartphones, which use the technology of the Swiftkey company

• Description of the data preprocessing steps.
• Cleaning and tokenization of the text data.
• Removal of punctuation, numbers, and stopwords.

• Description of the predictive algorithm used for next word prediction.
• Explanation of the approach taken for model training.
• Mention any N-gram models or other techniques used for better prediction accuracy.

• Introduction to the Shiny app developed for next word prediction.
• Description of the app interface, including input text box and prediction output.
• Instructions for using the app and obtaining predictions.