Hand Sign Detection Model

This project represents a complete ML engineering journey, evolving from experimental hand detection to a production-ready system. Built on YOLOv8 architecture and trained on a custom dataset of 1,740 manually curated images, the model achieves 96% accuracy in distinguishing between hands, arms, and non-hand objects. The system features real-time inference at 30+ FPS, seamless web integration via Vercel AI SDK, and deployment on HuggingFace Spaces for universal access.