🌟 Predictive Text Model

• Goal: Predict the next word in a user-provided phrase.
  
• Built using N-gram Language Modeling:
  • Unigram: Single words
    
  • Bigram: Two-word sequences
    
  • Trigram: Three-word sequences

Why is it Awesome?

✅ Improves typing efficiency
✅ Real-time, accurate predictions
✅ Powered by real-world data:
- Blogs
- News articles
- Twitter posts

🔍 N-gram Model Process

1. Input Cleaning: Lowercase, punctuation removal
   
2. Matching Words: Find the last words in N-gram database
   
3. Prediction: Output the most likely next word

🔑 Data Sources
- Real-world text from:
- 📰 News Articles
- 📝 Blogs
- 🐦 Twitter

💡 Key Insight
- Combines speed and simplicity for a seamless user experience.

📊 Model Accuracy

Why Does This Matter?
⏱️ Real-time predictions enable a fast and intuitive user experience.

🧪 Tested on 10,000 random phrases for robust results.

🎯 Live Demo

1. Input a Phrase: Type your text into the input box.
   
2. Get Prediction: See the next word predicted instantly.

🔗 Try it Here:
Launch the Shiny App

📸 App Screenshot:

Example Use Case

Input: “How are”
Prediction: “you”

🔑 Key Highlights

✨ Intuitive: User-friendly Shiny App
⚡ Fast: Predictions with minimal delay
🎯 Accurate: Real-world data for reliability

🚀 Call to Action

🔹 Enhance:
- Mobile typing apps
- Customer service chatbots
- AI-powered writing assistants

🔹 Next Steps:
- Deploy in a production environment
- Integrate with larger datasets for better accuracy