Blockchain-Based Online E-voting System

Recently, blockchain technology has become popular. Through a highly secure, decentralised system enabled by this technology, anyone can interact securely without the need for a middleman. Machine learning can help with many of the constraints that blockchain-based systems have in addition to its own strengths. Blockchain technology and machine learning together have the potential to produce very effective and beneficial outcomes. Hence, when blockchain and ML converge, they surely would benefit from each other. Blockchain can enhance the security of ML platforms, and ML can provide automation and optimization to blockchain solutions. In this work, we advocate the importance of enhancing blockchain with ML algorithms, as a proof of principle we address the issue of secure and intelligent e-voting. The use of blockchain technology has brought tremendous different application domains, e-voting is one of them. Most existing e-Voting systems require central authority during the process of authentication and verification of the voter. In this paper, we propose a safe online voting approach based on blockchain and ML to provide a solution to this issue. We use blockchain to ensure integrity and transparency of the votes, and ML for automating the verification process of eligible voters based on AI- for face authentication. The proposed solution offers automation, security, and mobility to the voting system.