Online Voting System

Voting is essential to democratic governance, but traditional voting methods often face problems like low voter turnout, accessibility issues, and operational inefficiencies. This study presents a safe and efficient online voting system that combines modern web technologies with biometric verification techniques, such as fingerprint authentication and facial recognition. To ensure high levels of accuracy and security, the proposed system combines FKT-Net-based fingerprint assessment with Convolutional Neural Networks (CNN) for facial recognition. Additionally, the system employs multi-factor authentication and encryption techniques to safeguard voter data and maintain election integrity. Enhancing accessibility, increasing voter participation, and ensuring a transparent and resilient electoral process are the goals of the suggested strategy.