Authors: Amit Kumar, Ritesh Chaudhary, Mohammad Razique, Nabin Prasad Chaudhary, Prasant Sah
Abstract: This paper presents the design, architecture, and implementation of an AI- and ML-based Online Voting Sys- tem (OVS) that integrates face recognition, anomaly detection, and chatbot support to enhance authentication, security, and accessibility. We describe system requirements, architecture, and workflow; provide improved UML and flowcharts; and include screenshots of an implemented prototype. Security analysis in- dicates reductions in impersonation and fraud risk compared to traditional methods.
