Published Paper Details:

The rapid advancement of artificial intelligence has enabled the creation of highly realistic synthetic media, including images, videos, and audio, bringing innovation across sectors like entertainment, education, and healthcare while also introducing serious risks such as misinformation, impersonation, and cyber fraud. Traditional centralized verification systems are vulnerable to tampering, lack transparency, and suffer from single-point failures. To overcome these limitations, this work proposes a Blockchain-Based AI Framework for verifying real and AI-generated media by combining AI-driven forensic analysis with decentralized ledger technology. The system analyzes media using multi-modal techniques such as spatial feature extraction, artifact inconsistency detection, and frequency pattern evaluation to classify content as authentic or synthetic, then securely records a cryptographic hash and verification result on the blockchain to ensure immutability, traceability, and transparency. Through a web-based interface, users can upload and verify media without relying on centralized authorities, creating a scalable, secure, and trustworthy solution to combat deepfakes and restore confidence in digital media.