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@article{179192,
        author = {JAYAPRIYA.T and REVATHI.R and NAKKA KALYANI and BALA ABIRAMI.B},
        title = {E-Voting System Within IOT Enabled Smart Cities},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5723-5727},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179192},
        abstract = {The primary goal of this project is to create a smart voting system that will give a more secure voting platform, eliminating the flaws in the current voting system. Two levels of authentication processes are employed in order to attain a better level of security. Techniques like Face Recognition and OTP Verification are utilized to guarantee user login authentication. Voters' faces are photographed and stored as images during the registration process, and when casting a ballot, our system uses a deep CNN-based face recognizer to capture avower’s facial image. If the result of the comparison is positive, the system as sum esthete voter is legitimate and sends a One-time password (OTP) to their registered mail address. The user will be able to vote once they've enter etherish password. After casting a ball at, the voter's facial alignment is removed from the system, ensuring that they only cast one ballot.},
        keywords = {Deep Learning, Face Recognition , OTP authentication ,Secure Authentication.},
        month = {May},
        }