The Future of Text Prediction

Key Features:
✔️ Instant word predictions
✔️ Intelligent backoff algorithm
✔️ Clean, user-friendly interface
✔️ Optimized for speed and accuracy

Presentation date: April 11, 2025

Predictive Model Architecture

Core Technology:
- N-gram language model (1-4 grams)
- Katz backoff smoothing
- Optimized weights: 0.6 (trigram), 0.3 (bigram), 0.1 (unigram)

Prediction Process:
1. Tokenizes input text
2. Searches for matching n-grams
3. Applies backoff when needed
4. Returns top 5 most probable words

Simple and Intuitive

1. Type any phrase
   
2. Click Predict button
   
3. View top suggestions
   
4. Select your next word

Example Prediction:
Input: “I want to”
Output:
1. go
2. eat
3. see
4. buy
5. play

Business Opportunities

Applications:
- Mobile keyboards
- Chat applications
- Accessibility tools
- Content creation

Investment Needs:
- $50k for development
- Cloud infrastructure
- Mobile integration

Document generated on: April 11, 2025

Contact: xavier.rodriguezromerol@company.com