Smart voting system with face recognition and OTP verification using convolutional neural network

In an era where secure digital solutions are essential for democratic integrity, this paper introduces a Smart Voting System that combines facial recognition and one-time password (OTP) verification to ensure reliable voter authentication. Utilizing Convolutional Neural Networks (CNNs) and the pre-trained MobileNetV2 architecture, the system accurately identifies users through webcam-based facial recognition. A secondary OTP layer, sent through email, ensures that only legitimate voters proceed to vote. Implemented as a web-based platform using Flask, the system offers real-time validation, robust fraud prevention, and a user-friendly interface. Experimental evaluations reveal high classification accuracy and reliability, proving its effectiveness in reducing impersonation and ensuring secure, transparent, and efficient elections. This approach provides a scalable framework adaptable to future electoral enhancements.