AI powered: Election voting system
Emad khan, MD Hafizullah, MD Saif, M. Ansari, Neha Kumari · International Journal of Research in Engineering and Innovation · 2025
In democratic countries, free and fair elections are essential for representative governance. Traditional voting systems, whether manual or electronic, face challenges in security, accuracy, and efficiency. This paper proposes an AI-powered Voting System developed using Java and a relational database, focusing on secure voter authentication, intelligent vote management, and automated result processing. The system integrates AI concepts like data validation and anomaly detection alongside a robust Java-based backend and database for reliable data handling. The system aims to enhance electoral processes by integrating biometric authentication methods, such as facial recognition and fingerprint scanning, ensuring secure and efficient voter verification. The application leverages Java Servlets and JSP for the frontend, while SQL databases manage and store voter information and election data securely. The system's modular architecture allows for scalability and future enhancements such as biometric authentication and mobile integration. Initial testing with simulated data confirms the system's effectiveness in conducting small- to mediumscale elections with improved accuracy, transparency, and efficiency. The proposed solution serves as a foundational model for developing more robust, accessible, and secure e-voting platforms in institutional or regional contexts.