- Added a new SQLite database file, 'performance_tracking.db', to store performance metrics from model inference and analytics.
- The database supports logging of model name, confidence, prediction time, preprocessing time, total time, memory usage, accuracy, timestamp, input size, and modality.
- Enables persistent storage for performance dashboard, historic analytics, and efficient retrieval for reporting functions.