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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 11 | Nov 2024

p-ISSN: 2395-0072

www.irjet.net

E-Voting System Using Blockchain and Face Recognition 1Dhanashree Bagal, 2Sanika Patil, 3Gauri Chavan, 4Srushti Shete, 5Kajal Pawar, 6Dr. Swati Pawar 1,2,3,4,5 UG Students, Department of Computer Science And Engineering, SVERI’s College of Engineering, Pandharpur,

Maharashtra, India

6Associate Professor, Department of Computer Science And Engineering, SVERI’s College of Engineering, Pandharpur,

Maharashtra, India --------------------------------------------------------------------------***---------------------------------------------------------------------------Abstract: The paper presents an innovative e-voting system that integrates facial recognition and blockchain technology to address security and authenticity issues in online voting. The system uses facial recognition to uniquely identify registered voters, ensuring that each individual is authorized to vote. This technology prevents identity fraud and enhances the security of the voting process. Blockchain technology is employed to record votes securely, ensuring transparency, immutability, and verification of the voting data. The system allows voters to cast their votes remotely while maintaining confidentiality and trust in the election process. The paper discusses the methodology behind the design and implementation of the e-voting system, focusing on integrating these technologies for a secure, scalable, and efficient voting experience. Additionally, the challenges faced during development and the potential improvements for future implementations of this system are also highlighted. This approach aims to modernize the voting process, making it more accessible, secure, and transparent for elections in various sectors.

blockchain can protect the integrity of votes by preventing vote data from being tampered with or altered [7]. Together, these technologies increase public confidence in elections by ensuring that all votes are secure and accurate. It is especially effective in remote or large turnout situations [8]. The initiative highlights the importance of integrating new technologies into the democratic process to ensure a secure and transparent electoral process, safeguard fair elections, and enhance public participation [9].

II.

E-Voting System Recognition:

E-Voting, Face Recognition, Blockchain, Security, Reliability, transparency, Functionality, Estonia, Electronic Governance, Decentralized System, user authentication.

The significance of "electronic voting using facial recognition and blockchain" is that it can change the way of voting by solving important problems such as security, package transparency, and access. In many traditional voting systems, problems such as voting, double voting, election fraud, and voter fraud threaten the integrity of the election [1][2][3]. The combination of blockchain creates a secure and reliable election [4]. Facial recognition reduces the risk of fraud and increases the accuracy of voter identification by ensuring that only registered people can vote [5][6]. The distributed and immutable structure of the

Impact Factor value: 8.315

Blockchain

and

Face

N Prathyusha, P Pooja, A Vijay Vasanth. “Blockchain-Based E-Voting System with Facial Recognition.” This paper proposes a blockchainbased e-voting system with facial recognition for secure voter authentication. It ensures tamperproof voting and accurate voter identification, improving transparency, security, and privacy in elections.

Rifa Hanifatunnisa, Budi Rahardjo. A review paper on Blockchain Based E-Voting Recording System Design. This paper highlights the use of blockchain for secure and immutable e-voting systems, ensuring data integrity and reducing fraud risks. It emphasizes transparency and decentralized data storage.

Introduction

Using

Electronic voting using facial recognition and blockchain addresses key issues in the electoral process, including voter identification, fair voting, transparency, and prevention of fraud. Current research and progress on evoting, facial recognition, and blockchain technology also identify gaps and challenges to overcome in the planning process [1][2][3].

Keywords:

Literature Review

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