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Hand Sign Detection Using YOLOv8 & FastAPI

This interactive AI project detects the number of fingers a user shows and visualizes the result with illuminated bulbs on screen. Using a YOLOv8 model trained to recognize fingertip positions, the system counts raised fingers in real time (1–5). The FastAPI backend, hosted on Hugging Face Spaces, processes uploaded or captured hand images and returns both the detected count and an annotated image. On the React.js frontend, users see up to five bulbs light up dynamically — one for each detected finger — with smooth transitions and theme support (light/dark). This creates an engaging, visually intuitive demo of computer vision capabilities.

Hand Sign Detection Using YOLOv8 & FastAPI

About the Project

Detailed case study content coming soon.