DECENTRALIZED VOTING SYSTEM USING BIOMETRIC AUTHENTICATION

Traditional voting systems are prone to voter fraud, tampering, and lack of transparency, leading to distrust in election outcomes.This study investigates a decentralized voting system that integrates blockchain technology and machine learning to enhance security and reliability.The blockchain-based system ensures that votes are securely recorded, immutable, and transparent, preventing manipulation and double voting.Machine learning is utilized for biometric voter authentication and fraud detection, ensuring that only legitimate votes are counted.The system was tested through simulations, demonstrating its effectiveness in preventing unauthorized access and improving election security.Results indicate a significant reduction in fraudulent activities and improved voter verification accuracy.This research highlights the potential of decentralized technology in modern elections, offering a scalable and secure alternative to traditional voting methods.The findings suggest that adopting this system can enhance electoral transparency and public trust, paving the way for more secure and verifiable democratic processes.