AI Smart Currency Detection Pipeline uses YOLOv8 deep learning on Raspberry Pi 5 edge compute to identify Indian currency denominations from real-time camera input, enabling visually impaired users to scan notes and receive instant voice feedback. Image preprocessing via OpenCV normalizes captured JPEG frames before the trained YOLOv8 model performs feature extraction, object detection, and confidence scoring across Rs.10–Rs.500 denominations. The pipeline demonstrates edge AI best practices: local inference reduces latency and privacy risks versus cloud-dependent solutions, while pyttsx3 offline text-to-speech eliminates network dependency. Fork and customize this diagram to adapt the currency detection model for other regions, integrate OCI services for model training and versioning, or extend the pipeline with additional sensors and accessibility features.