Abstract
Traditional voting systems can be difficult for cer-tain groups of people to access, such as those with disabilities or those living in remote areas. A blockchain-based digital voting system can be designed to be more accessible, allowing more people to participate in the electoral process. Unlike the existing voting systems prone to errors and discrepancies, leading to a lack of trust in the electoral process, Blockchain-based e-voting systems aim to eliminate fraud and increase online voting security, transparency, and efficiency. The proposed system comprises three main sections: admin, voter, and candidate. The admin section authorizes the entry of voter and candidate information into a database. Voter registration involves the collection of facial features, while candidate registration requires basic information to create a database. During the voting process, a live camera is used to identify voters based on their facial features. The voter's eligibility is verified using the Random Forest classification method, and if eligible, a unique voter ID block is added to the Blockchain. The voter ID block is hashed with SHA-512, making it impossible to tamper with the immutable records on the Blockchain. The effectiveness of the Random Forest classification method is also evaluated.
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