• PARVATHY.S

This paper presents a secure and transparent voting framework that integrates blockchain technology with deep learning–based fingerprint recognition. The immutable and decentralized architecture of blockchain ensures that all votes are recorded in a tamper-proof ledger, eliminating the possibility of unauthorized modifications or deletion of voting records. To strengthen voter authentication, the system employs a deep learning–enhanced fingerprint recognition model, enabling highly accurate and reliable verification. This biometric layer prevents impersonation, duplicate voting, and other fraudulent activities by ensuring that only legitimate voters can participate in the election process. Once authenticated, the voter’s choice is securely submitted and permanently stored on the blockchain, where it becomes accessible for real-time monitoring by authorized stakeholders. This decentralized structure supports independent auditability while preserving voter privacy and anonymity. Overall, this paper aims to improve voter confidence and accessibility by offering a modern, secure, and scalable voting solution. By combining blockchain with advanced biometric authentication, the system significantly reduces electoral fraud, enhances transparency, and supports fair and reliable elections across various administrative levels.

Blockchain-Based Voting System Biometric Authentication,Deep Learning, Finger print Recognition

"DEEP CHAIN VOTE: SECURE BLOCKCHAIN-BIOMETRIC VOTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.d544-d553, November-2025, Available :http://www.jetir.org/papers/JETIR2511358.pdf

"DEEP CHAIN VOTE: SECURE BLOCKCHAIN-BIOMETRIC VOTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppd544-d553, November-2025, Available at : http://www.jetir.org/papers/JETIR2511358.pdf