Introduces a new env.py module that centralizes environment variable handling. The module loads configuration from a .env file using python-dotenv and validates required variables like DATABASE_URL and SECRET_KEY, raising clear errors for missing critical settings.
The documentation now includes a comprehensive guide covering data preparation, model architecture selection, hyperparameter tuning, and evaluation metrics for the pattern recognition training pipeline.