Removing of Multiple Votes using De-Duplication Analysis

In this paper, we pioneered a de-duplication analysis method to eradicate multiple votes, upholding election accuracy and fairness. By scrutinizing key voter details like name and date of birth, we pinpointed duplicates and used a robust data-cleaning algorithm to ensure only legitimate votes were tallied. Strong security measures, including encryption and access control, were implemented to maintain data integrity. Our project showcased the efficacy of de-duplication analysis in enhancing election security. This combined with advanced security protocols forms a blueprint for transparent electoral processes. This significant advancement emphasizes the potential of advanced data analysis in ensuring secure and transparent elections.