Smart Voting System Using Deep Learning
摘要
The world's largest democratic nation is India, where we live. Therefore, it is imperative to guarantee that a fair election is used to elect the governing body. India exclusively employs an offline voting system, which is characterized by inefficiency and substandard performance due to the substantial manpower requirements and the extended duration for processing and disseminating the results. Therefore, a change that addresses these drawbacks is necessary for the system to become effective. The new procedure makes voting easier by not requiring a voter's physical appearance. This study focuses on a two-step authentication system that uses face recognition and an OTP mechanism to enable voters to cast their ballots remotely from any location using a computer or mobile device. If the user finds it more comfortable, this product also lets them vote offline. Prior to the election, voters’ faces are recorded using a face scanning technique that is helpful while voting. RFID tags, not voter ID the offline voting method. In order to use this method, voters must snap a photo of themselves prior to the election and compare it to the original before casting their vote.