KNN-Powered Online Voting System to Improve Accuracy and Transparency Election Process

Abstract: The proposed system aims to create a safe online voting system by developing a face recognition-based authentication model using K-Nearest Neighbors (KNN). The system verifies voters through unique credentials and a real-time photo captured via webcam. It strictly enforces a one-vote-per-user policy by comparing live images with stored database records. Results are updated every minute, ensuring transparency and efficiency while reducing long queues at polling stations.

Keywords: Face recognition, KNN, Online Voting System, Machine Learning.