Authors Aditi NehaSandip Institute of Technology and Research Centre, Savitribai Phule Pune University, Nashik, Maharashtra, IndiaNidhi SakshiSandip Institute of Technology and Research Centre, Savitribai Phule Pune University, Nashik, Maharashtra, IndiaRiya ShrutiSandip Institute of Technology and Research Centre, Savitribai Phule Pune University, Nashik, Maharashtra, India Abstract In the contemporary phase of digital transformation, the development of transparent, secure, and tamper-resistant electoral infrastructures has emerged as a critical global imperative. This paper introduces “Blockchain E-Voting Done Right”, a decentralized electronic voting framework designed to enhance electoral integrity through the integration of distributed ledger technology, secure web architecture, and biometric verification mechanisms. The proposed system leverages a Public blockchain to ensure immutable vote recording, decentralized consensus, and public auditability. By utilizing cryptographic hashing, digital signatures, and consensus protocols, the platform guarantees end-to-end vote integrity, non-repudiation, and resistance to data manipulation. Smart contract logic governs ballot validation, vote tallying, and result publication, thereby eliminating reliance on centralized authorities while maintaining deterministic execution and transparency. The web application layer is developed using the Django framework, enabling modular backend services, RESTful APIs, scalable database management, and secure session handling. The frontend interface is designed to provide intuitive navigation for voters and administrative authorities, incorporating role-based access control and multi-factor authentication protocols. Encrypted vote payloads are transmitted over secure channels and stored on-chain in hashed form to preserve confidentiality while ensuring verifiability. To strengthen identity verification and mitigate impersonation risks, the system integrates biometric authentication through OpenCV-based facial recognition. Image preprocessing, feature extraction, and pattern-matching algorithms are employed to authenticate registered voters prior to ballot access. This biometric layer complements cryptographic safeguards and effectively reduces double voting, identity fraud, and unauthorized participation. The hybrid architecture addresses major limitations of conventional e-voting platforms, including single points of failure, limited transparency, vote tampering vulnerabilities, and scalability constraints. Performance evaluations demonstrate the system’s capability to handle concurrent voting requests while maintaining low latency and high transactional throughput. Furthermore, privacy-preserving mechanisms—such as anonymized wallet mapping and encrypted identity tokens—ensure that voter anonymity is maintained without sacrificing public verifiability. Overall, the proposed implementation validates the feasibility of a next-generation digital voting ecosystem that harmonizes privacy, transparency, security, and trust. The framework presents a scalable and resilient solution suitable for large-scale democratic elections, institutional governance, and decentralized organizational voting in the evolving digital era. Keywords Blockchain E-Voting Django OpenCV Public Blockchain Voter Authentication Privacy Transparency Smart Contracts Decentralized Applications Citation of this Article Aditi Neha, Nidhi Sakshi, & Riya Shruti. (2025). Privacy-Preserving and Transparent E-Voting Systems Using Public Blockchain Architectures. Current Journal of Engineering and Science Research. 2(6), 17-22. 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