Secure and Unified AI-Blockchain Voting System with Real-Time Verification
DOI:
https://doi.org/10.15662/IJEETR.2026.0802380Keywords:
Python 3.8, TensorFlow, Keras, Flask, NumPy, Pandas, Matplotlib, Scikit-learn, MySQL, OpenCV (for face recognition), JSONAbstract
Voting is a fundamental pillar of democracy, but traditional system faces challenges including tampering, slow vote counting, delayed results, and lack of transparency. This project proposes a secure, transparent, and efficient electronic voting system that leverages advanced technologies such as blockchain, biometrics, and encryption to address the challenges of traditional voting methods. The system ensures voter authentication through multi-factor verification, including QR code scanning and facial recognition. Once authenticated, votes are encrypted using 256-bit SHA hash codes and stored on a tamper-proof blockchain, ensuring vote immutability and security. The self-tallying mechanism automates the vote counting process, providing rapid and error-free results. Additionally, the system includes real-time vote integrity verification, SMS notifications for tampering detection, and detailed audit reports for complete transparency
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