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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
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| Paper Title: | Vote Verify: Authenticity in Electoral Process |
| Authors Name: | Harshita Limaye , Aditi Sathe , Sanika Warnekar , Heeya Chawhan , Yanishka Chiwhane |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201674
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| Published Paper Id: | IJRTI2503197 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Maintaining electoral processes genuinely and with integrity is the greatest challenge confronting contemporary voting systems. Conventional voting processes are simple to simulate for identity theft and impersonation. Although current e-voting processes are less verifiable, which impacts the credibility of elections. Vote Verify is a sophisticated Internet of Things-based biometric authentication system that improves the security of votes through authenticating the identities of voters correctly and preventing impersonation and double voting. It relies on an ESP32 microcontroller, a biometric fingerprint sensor for identification, real-time database for monitoring the voters and automatic SMS verification for transparency in the process. Once they arrive at the polling booth the voters authenticate themselves through a fingerprint scan. When the authentication is confirmed, they get a confirmatory SMS to the registered mobile number, hence ensuring that only genuine voters can vote. This multi-step solution eradicates risks of impersonation and reduces human effort, thus guaranteeing efficient and secure election processes. By incorporating biometric technology, Vote Verify ensures that each voter possesses a distinct and verifiable identity, reducing risks with traditional voting procedures. The system is programmable to provide greater transparency in the elections by creating tamper-proof proof-authentication records, real-time logs of voter authentication, and secure access control to election officials. Vote Verify is also highly scalable, hence making it applicable for local community elections, corporate voting thus promoting higher voter confidence and turnout. This intelligent, automated, and secure authentication mechanism is a quantum leap in the process of modernizing electoral systems. Using multi-factor authentication, real-time monitoring, and secure data storage in an encrypted form, Vote Verify provides a state-of-the-art solution to provide a reliable, fast, and fraud-proof electoral process, ushering the world toward a digitally secure and open democracy. |
| Keywords: | IoT, biometric authentication, fingerprint recognition, voter verification, election security, real-time monitoring, access control, ESP32, encryption, tamper-proof records, fraud prevention, database management, digital democracy, multi-factor authentication, transparent voting systems, secure electoral process |
| Cite Article: | "Vote Verify: Authenticity in Electoral Process", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b648-b653, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503197.pdf |
| Downloads: | 000443 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503197
Registration ID:201674
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b648-b653 Country: Nagpur, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503197 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503197 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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