CRITICAL: Improve model accuracy (currently ~95%)

Research and implement improvements to increase model accuracy beyond 95%.

**Ideas:**
- Data augmentation improvements
- Architecture changes (ResNet, EfficientNet)
- Ensemble methods
- More training data
- Hyperparameter tuning

**Acceptance Criteria:**
- Accuracy improved
- Model still performs well on test set
- Documentation updated