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Developed an AI-powered offline signature verification system using SigNet CNN, ArcFace, and FastAPI to detect forged signatures with over 95% accuracy. Features secure AES-256 encrypted storage, role-based access control, scanner integration, and a desktop application for real-time signature authentication and fraud detection.