feat(ml): implement v3.0 architecture with CBAM and calibrated inference

- Integrate Convolutional Block Attention Module (CBAM) for improved feature focus
- Implement temperature scaling and confidence-based status reporting
- Automate dataset acquisition using kagglehub
- Update ONNX opset to 18 and refine preprocessing validation

Machine_Learning/convert_onnx.py

@@ -30,7 +30,7 @@ def main():
     parser.add_argument(
         "--opset",
         type=int,
-        default=13,
+        default=18,
         help="ONNX opset version to target",
     )