- 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
- Added ParseRichHeader method to extract Rich header information from PE files
- Defined RichEntry and RichHeaderInfo structures to store Rich header details
- Implemented decoding of Rich header entries with checksum XOR technique
- Updated ml.h and ml.cpp to support Rich header parsing
- Improved error handling and logging in ProcessDirectory method
- Translated some log messages to English for consistency
- Implemented MachineLearning class with ExtractFeatures method
- Updated project files to include new machine learning source and header files
- Modified main executable to call feature extraction
- Updated VSCode settings to include additional C++ headers
- Commented out previous file dumping code in main function
