Abstract: Deep learning, a subfield of machine learning, has revolutionized various domains by enabling computers to learn from large amounts of data and make accurate predictions or decisions. . The new method does not force the person's physical appearance to vote, which makes the things easier. This paper focusses on a system where the user can vote remotely from anywhere using his/her computer or mobile phone and doesn’t require the voter to got to the polling station through two step authentication of face recognition and OTP system. This project also allows the user to vote offline as well if he/she feels that is comfortable. The face scanning system is used to record the voters face prior to the election and is useful at the time of voting. The offline voting system is improvised with the help of RFID tags instead of voter id. This system also enables the user the citizens to see the results anytime which can avoid situations that pave way to vote tampering.

Keywords: Online voting system, Face recognition, OTP authentication, Biometric authentication, Secure voting, Fraud prevention, Voter verification, Identity authentication, Electronic voting, Democracy, Election security, Digital voting, Biometric recognition, Two-factor authentication.

PDF | DOI: 10.17148/IJARCCE.2023.125131

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