A Voting System that is Anonymous and is Based on the Deep Learning Mechanism the CNN
Immaculate Joy S, Ajay Kumar V, Chaitanya T · 2025
As the technology plays one of the most important roles in democratic processes in today's digital system, ensuring a security design that ensures secrecy and integrity of the votes cast is paramount. Here we introduce a new voting method providing anonymity and security using Convolutional Neural Networks (CNN). Combining the most advanced image processing technologies can anonymise voters identity and can uniquely identify each vote securely. Thus The suggested system used to be to deal with each the anti-voting and unethical voting worries as nicely as proof of records breaches, developing a relied on atmosphere for this suggestion from. In addition, we present a novel CNN based method and show that it achieves excellent detection and classification of high quality voter information. It anonymizes the voters information and maintains the integrity of voting system by applying Deep learning on Image processing. Moreover, as a universal adaptive and scalable solution appropriate for many voting systems, this technology will also work well. Hence the subject matter is essential, as it directly leads to better voting and modernization of the electoral system which builds trust in democracy amongst citizens.