AI-Enhanced Blockchain Voting Platform with Multi-Factor Biometric Authentication

Electronic voting can improve the accessibility and speed of election workflows, but remote voting introduces challenges involving voter impersonation, repeated voting, centralized record manipulation, limited voter-side confirmation, and the protection of sensitive identity data. This paper presents the design of an AI-enhanced blockchain voting platform that combines a Flutter mobile application with a Python backend, phone-number one-time-password (OTP) verification, device-mediated fingerprint authentication, facial verification with liveness checking, smart-contract-based vote validation, and a blockchain-backed audit record. The proposed workflow guides a voter through OTP verification, fingerprint approval, live facial verification, ballot submission, and receipt generation. During the voting session, the camera and recording service are intended to remain active; security, camera, authentication, or network failures terminate the session and return the user to login. The architecture separates the mobile interface, verification services, backend, application database, smart-contract layer, and ledger. We also identify design constraints that are essential for a credible voting system, particularly ballot secrecy, biometric-data minimization, secure off-chain storage, recording consent and retention, and the distinction between tamper-evident records and end-to-end election verifiability. This is a proposed system design; implementation results and performance measurements are not claimed.