FaceChainVote: A Unified Blockchain-Driven AI Electoral System

Voting plays a crucial role in a democratic society, giving citizens a direct voice in governance. However, traditional voting systems in India are often plagued by challenges such as vote tampering, delays in result announcements, and inefficiencies in vote counting. Even current electronic voting methods face concerns like inconsistent implementation across states, security loopholes, and limited accessibility. To address these pressing issues, this project introduces a blockchain powered electronic voting system that ensures traceability, transparency, and enhanced voter authentication. The proposed solution leverages QR codes and facial recognition technology powered by CNN, linked with Aadhaar data for multi-layered verification. This combination provides robust voter identification, ensuring only eligible individuals can cast their votes. Voters can securely vote from any authorized booth, with each vote encrypted using 256-bit SHA hashing and recorded on a tamperproof blockchain. Any suspicious attempt to alter a vote activates an instant "Vote Integrity Verifier Link" via SMS, allowing voters to confirm the authenticity of their submissions. Moreover, the system implements a self-tallying mechanism that enables accurate, same-day results without manual counting. By introducing a unified voting platform across all states, it simplifies and standardizes the electoral process nationwide. Overall, this project presents a secure, scalable, and transparent voting framework aimed at strengthening public trust and modernizing India’s democratic infrastructure.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-11
DOI
https://doi.org/10.22214/ijraset.2025.72143
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

FaceChainVote: A Unified Blockchain-Driven AI Electoral System

P. Rajapandian
1 citations
International Journal for Research in Applied Science and Engineering Technology
Blockchain Technology Applications and Security
3.25
article

FaceChainVote: A Unified Blockchain-Driven AI Electoral System

P. Rajapandian
article en
1 citations

Abstract

Voting plays a crucial role in a democratic society, giving citizens a direct voice in governance. However, traditional voting systems in India are often plagued by challenges such as vote tampering, delays in result announcements, and inefficiencies in vote counting. Even current electronic voting methods face concerns like inconsistent implementation across states, security loopholes, and limited accessibility. To address these pressing issues, this project introduces a blockchain powered electronic voting system that ensures traceability, transparency, and enhanced voter authentication. The proposed solution leverages QR codes and facial recognition technology powered by CNN, linked with Aadhaar data for multi-layered verification. This combination provides robust voter identification, ensuring only eligible individuals can cast their votes. Voters can securely vote from any authorized booth, with each vote encrypted using 256-bit SHA hashing and recorded on a tamperproof blockchain. Any suspicious attempt to alter a vote activates an instant "Vote Integrity Verifier Link" via SMS, allowing voters to confirm the authenticity of their submissions. Moreover, the system implements a self-tallying mechanism that enables accurate, same-day results without manual counting. By introducing a unified voting platform across all states, it simplifies and standardizes the electoral process nationwide. Overall, this project presents a secure, scalable, and transparent voting framework aimed at strengthening public trust and modernizing India’s democratic infrastructure.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
3.25
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