AI-Powered Background Remover (Full-Stack) - Deep Learning Architecture

Engineered a U2Net saliency detection model from scratch using PyTorch, trained on the P3M-10k dataset to achieve high-precision alpha matting and hair-level detail preservation. Full-Stack Implementation: Built a responsive React (Vite) frontend with Material UI and Clerk authentication, integrated with a high-performance FastAPI backend that manages user credits and processing quotas via SQLAlchemy. Technologies: Python, PyTorch, FastAPI, React, JavaScript, Material UI, Clerk, SQLAlchemy.