Blockchain Based AI Identity Verification System in KBPCOES

The review analyzes the existing literature at the convergence of blockchain technology, biometrics/AI, and digital identity verification. We gather and examine more than ten recent articles (2020–2025) that suggest frameworks, protocols, and assessments of legal/usability for blockchain-based biometric identity and self-sovereign identity (SSI) systems. We identify common design patterns—such as on-chain hashes paired with off-chain biometric templates, verifiable credentials (VCs) and decentralized identifiers (DIDs), along with smart contracts coordinating verification—uncover technical and legal challenges (like scalability, privacy-preserving biometric matching, GDPR/consent issues, and interoperability), and introduce a specific research problem: a privacy-preserving, verifiable face-liveness identity proofing framework for online examinations utilizing DIDs/VCs, homomorphic/fuzzy cryptography, and a hybrid layer-2 storage solution. We outline the proposed solution, experimental methodology, evaluation metrics, and anticipated assessment outcomes. The survey includes a table of literature, synthesis of themes, a stepwise approach to problem identification, and a suggested assortment of figures/tables for clear presentation. This paper seeks to support research initiatives and practical applications of blockchain-enabled AI identity verification.