AI Smart Currency Detection System uses YOLOv8 on a Raspberry Pi 5 to identify and classify Indian currency notes in real time via Pi Camera Module input. Image preprocessing—including resize, noise removal, and brightness enhancement—feeds the trained YOLOv8 model for feature extraction, detection, and classification against an Indian Currency Dataset. The system outputs recognition results through a Text-to-Speech Engine (pyttsx3) and Speaker, enabling voice feedback to users. Fork this diagram to customize the preprocessing pipeline, swap YOLOv8 for alternative models, or adapt it for other currency systems or object detection tasks. This architecture demonstrates best practices for deploying deep learning inference on resource-constrained edge hardware while maintaining real-time performance.