Decentralized Based E-Voting System

This project sets out on an ambitious mission to redefine the election process in the era of electoral innovation by combining the accuracy of the Arcface algorithm with the robustness of blockchain technology. The main goal is to develop an electronic voting system that transforms accessibility, security, and transparency.

Improvements in accuracy and security are critical in the field of electronic voting. Although blockchain technology has shown promise in resolving these issues, a significant difficulty still lies in precisely integrating facial recognition technology such as Arcface, with sophisticated object detection, like YOLOv5. To evaluate the effects of Arcface and YOLOv5 implementations on security, accuracy, and overall system performance, this research study compares and examines these two methods' use in a blockchain-based electronic voting system. The main goal of the problem statement is to identify which of these technologies offers the most reliable and effective way to handle the difficult challenge of reliably and securely authenticating voters while preserving the integrity of the electoral process.