Electronic voting systems are increasingly adopted; however, they suffer from critical issues such as voter impersonation, vote manipulation, and lack of transparency. This paper proposes a secure e-voting framework that integrates real-time facial recognition with Grassmann subspace-based verification to achieve accurate and reliable voter authentication. Furthermore, a blockchain-based architecture utilizing SHA-256 is employed to ensure secure and immutable vote storage. The proposed system performs live facial data acquisition during both the registration and voting phases to enable continuous identity verification and prevent unauthorized access. Each vote is transformed into a unique cryptographic hash and stored within a blockchain ledger, ensuring data integrity, non-repudiation, and resistance to tampering or duplication. Experimental evaluation indicates that the proposed framework significantly enhances authentication accuracy, system security, and transparency when compared to conventional voting mechanisms