Biometric Enabled Remote Voting System for Senior Citizens

In developing countries, democracy plays a crucial role, but conventional voting systems often pose challenges due to resource and manpower consumption, potential illegal activities, and lack of transparency. To address these issues, a new confidential E-Voting system is proposed, incorporating facial recognition technology for secure and efficient voting. This system aims to provide an inclusive and accessible solution, especially for senior citizens who face difficulties with traditional voting methods due to mobility constraints. The online voting platform offers a user-friendly web interface and secure authentication using facial recognition algorithms. Seniors can conveniently vote remotely through their preferred devices, ensuring precise identification and preventing fraud. The system’s implementation involved modern facial recognition technology, emphasizing usability and security. Testing and validation confirmed its effectiveness, reduced unauthorized access risks, and received positive user feedback regarding simplicity and accessibility. By incorporating facial recognition, this online voting system offers increased convenience, accessibility, and cost-efficiency, promoting inclusivity for seniors regardless of their location or mobility. The study contributes to the field of accessible voting technology and paves the way for future improvements in online voting systems catering to diverse demographic groups.