Paper Title
Cryptotrace: Real-Time Cryptocurrency Fraud Detection

Abstract
Cryptocurrency transactions offer anonymity and decentralization, making them vulnerable to illicit activities such as money laundering and fraud. This paper presents CryptoTrace, an AI-powered real-time tool designed to monitor and analyze cryptocurrency transactions across multiple blockchains, detecting and flagging suspicious activities. The system integrates machine learning algorithms, blockchain forensics, and cryptographic verification to enhance transaction integrity and fraud detection. The study details the design, experimental evaluation, and the impact of CryptoTrace on financial security and law enforcement. Keywords - Cryptocurrency, blockchain forensics, fraud detection, machine learning, AI, Ethereum, Bitcoin.