International Journal of Science, Engineering and TechnologyAuthors: S. Venkateshwara Rao, Kota Spandana
Abstract: In order to solve the problems with conventional offline voting in India, which include expensive prices, staff needs, delayed results, and accessibility concerns, especially for NonResident Indians (NRIs) and users with technical knowledge, we need to create a safe and effective online voting system. First, there's the Authentication Phase, when users are checked using Face Recognition and OTP Verification. Then, to make sure everything is honest, there's Live Real-time Monitoring and Session Monitoring. If anything fishy is found, the vote won't go through. Problems arise for Non-Resident Indians (NRIs) because to the high expenses and substantial human effort needed by India's current voting system, which uses Electronic Voting Machines (EVMs) and conventional ballot papers. To guarantee the safety of online voting, the suggested system incorporates several security measures, such as Aadhaar-based authentication with OTP, MTCNN for face recognition, MobileNetV2 for face real-time monitoring, Blockchain-based smart contracts for secure verification, and end-to-end encryption. Due to logistical constraints, the participation of non-resident Indian voters in conventional elections has been low. Because of the increased accessibility and convenience offered by an online voting system, projections indicate that participation will increase by 5% in 2024, reaching 72%. A more inclusive voting process and more participation are outcomes of this digital transition, which removes geographical obstacles (p = 0.049). By using cutting-edge technology like as TensorFlow and MobileNetV2, the created system successfully overcomes the shortcomings of conventional offline voting. Aligning with the changing demands of future generations and offering an inclusive solution for all voters, it provides the groundwork for a democratic voting process that is entirely digital, safe, and efficient.
DOI: https://doi.org/10.5281/zenodo.20679200
