Integrating Blockchain and Facial Recognition for a Decentralized and Tamper-Proof Voting System

Abstract

This paper is proposing a decentralized e-voting system based on the blockchain technology and facial recognition to enhance election security and transparency. The proposed methodology is through the creation of an Ethereum-based blockchain for vote recording and smart contracts for tamper-proof transactions. It ensures voter authenticity through facial recognition, which reduces all fraudulent risks. To test this system, it must be tested in simulated environments to validate that such a system is robust and scalable and prevents unauthorized access and even possible vote tampering. Results indicate that the system guarantees transparency, security, and real-time verification when used.Therefore, it is the best option for institutional or national elections. The current research thus offers a novel alternative to traditional voting procedures, which thus questions critical problems such as vote rigging and general mistrust in the electoral process.