- Completely rewrite README.md with comprehensive project overview and technical details
- Add detailed explanation of antivirus engine architecture and detection strategies
- Implement multi-stage malware detection with machine learning, sandbox, and PE structure analysis
- Update project configuration and add new source files for enhanced detection capabilities
- Integrate XGBoost machine learning model with C++ export functionality
- Improve sandbox environment with advanced module and LDR data table handling
- Remove legacy Python prediction and training scripts in favor of C++ implementation
- Extract SEH-based import library parsing into a separate function for better modularity
- Add new processImportWithSEH and processImportWithSEH_Internal functions to handle import parsing safely
- Update README.md with more detailed project description and initial engine classification
- Improve error handling and exception management during PE import directory traversal
- Standardize library name processing with lowercase transformation