Update project documentation and enhance malware detection engine

- 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

.vscode/settings.json

@@ -58,6 +58,19 @@
         "xutility": "cpp",
         "functional": "cpp",
         "array": "cpp",
-        "numeric": "cpp"
+        "numeric": "cpp",
+        "charconv": "cpp",
+        "chrono": "cpp",
+        "filesystem": "cpp",
+        "format": "cpp",
+        "forward_list": "cpp",
+        "locale": "cpp",
+        "mutex": "cpp",
+        "optional": "cpp",
+        "ratio": "cpp",
+        "stop_token": "cpp",
+        "thread": "cpp",
+        "xlocbuf": "cpp",
+        "xlocmes": "cpp"
     }
 }