Developing Data Products Final Project

This project demonstrates a simple Natural Language Processing (NLP) application that predicts the next word based on a user-entered phrase.

Objectives:

• Build an interactive Shiny application
• Implement a simple prediction algorithm
• Deploy the application online using shinyapps.io

The goal of this application is to:

• Predict the next word from a user-entered phrase
• Demonstrate a basic NLP workflow
• Provide a simple and interactive user experience
• Showcase deployment using Shiny

Algorithm Steps:

1. User enters a phrase
2. Text is converted to lowercase
3. Input is matched against predefined patterns
4. Corresponding prediction is returned

Example Predictions:

• i love → you
• how are → you
• machine learning → model
• data science → project

Key Features:

• Interactive text input
• Predict button
• Instant prediction output
• Lightweight and fast execution
• Deployed online using shinyapps.io

Live Application:

https://wlav7q-suchir-choudhary.shinyapps.io/coursera_nlp_project/

Demonstration Examples:

Input: i love

Output: you

Input: machine learning

Output: model

Possible Enhancements:

• Use large text datasets
• Implement n-gram language models
• Improve prediction accuracy
• Add multiple prediction suggestions
• Include probability scores

Summary:

• Developed a Next Word Prediction App
• Built using R and Shiny
• Successfully deployed online
• Demonstrates fundamental NLP concepts

Thank You!