Projects
A trading model utilizing dynamic weighting and aggregate scoring systems with LSTM networks for financial market prediction and analysis.
Hybrid-LSTM and CNN-LSTM approach for stock and forex price prediction using advanced deep learning techniques.
Comprehensive data mining project focused on healthcare data analysis and pattern recognition for medical insights.
Secure encrypted messaging application built with modern cryptographic protocols for private communication.
Two-stage assembler implementation written in ANSI-C.
High-performance multithreaded C++ backup server with concurrent client handling.
Collection of offensive security labs, scripts, and research.