This research paper presents a blockchain-based e-voting system designed to ensure secure, transparent, and tamper-proof elections. By using a decentralized ledger, it addresses issues like voter fraud and data manipulation, incorporating smart contracts for vote tallying and maintaining voter anonymity. The system offers a scalable and trustworthy solution for digital elections.
» Core Java, Full-Stack Development, HTML, CSS
» Blockchain, Java, Spring Framework, Spring MVC
Developed an AI-based Traffic Violation Detection System using real-time computer vision. It detects signal jumps, wrong direction, and parking violations automatically. Built with OpenCV, TensorFlow, and PyQt for smart enforcement and road safety.
In my recent research, I developed a face recognition-based attendance system using advanced AI techniques like CNN, KNN, and GANs. The system automates attendance tracking, ensuring accuracy, reducing proxy attendance, and providing real-time updates in Excel. This innovation modernizes attendance management in educational settings.