Projects & Contributions
Biometric Identification through Auditory EEG Signatures - YSC 2025
Developed secure EEG-based biometric identification system using auditory stimulus-induced brain signals with Deep Metric Learning techniques. Implemented deep learning models with metric learning approaches on PhysioNet Auditory EEG dataset, incorporating signal preprocessing and feature enhancement methods. System achieves competitive performance in individual classification and includes novel subject detection capability for enhanced real-world security applications.
CryptoWallet
Developed a secure cryptocurrency wallet with advanced security features including multi-signature support, hardware wallet integration, and encrypted key storage. Implemented robust protection against common attack vectors like phishing, malware, and man-in-the-middle attacks. Features secure transaction signing, cold storage capabilities, and comprehensive audit logging for blockchain security research.