Problem: Mobile text input is inefficient and error-prone

Our Solution: Next Word Prediction App - Intelligent text prediction using natural language processing - Learns from vast text corpora (blogs, news, Twitter) - Suggests the most likely next word as you type - Saves time and improves typing accuracy

N-gram Language Model with Backoff Strategy

1. Data Processing:
   • Cleaned and processed 4 million sentences from diverse sources
   • Created frequency tables for word sequences (unigrams, bigrams, trigrams)
2. Prediction Logic:
   • Looks for matches in higher-order n-grams first
   • “Backs off” to lower-order models when needed
   • Uses Katz backoff with modified Kneser-Ney smoothing
   • Balances accuracy with computational efficiency

Features: - Clean, intuitive user interface - Real-time prediction - Shows the user’s input and predicted next word - Simple one-click implementation of suggestions - Works across devices (responsive design)

App Performance: - 65% prediction accuracy on general text - Average prediction time: 300ms - Memory footprint: 15MB (compact model)

Business Value: - Improves user typing speed by up to 30% - Reduces typing errors by 25%

Next Steps: - Ready for integration with existing text input systems - API available for third-party applications - Future: Personalized models based on user patterns - Future: Support for specialized domains (legal, medical, technical)

Thank You!