Refactor: Integrate backend API and normalize data

This commit integrates the backend API for fetching and updating report data. It also includes a normalization function to handle data consistency between the API and local storage.

Co-authored-by: anthonymuncher <anthonymuncher@gmail.com>

backend/test/check_torch.py

@@ -0,0 +1,19 @@
+import torch
+
+print("🔥 PyTorch version:", torch.__version__)
+
+# Always True if torch installed
+print("✅ Torch is available:", torch.backends.mkl.is_available() or torch.backends.openmp.is_available())
+
+# Check CUDA / GPU
+print("🖥️ CUDA available:", torch.cuda.is_available())
+if torch.cuda.is_available():
+    print("   -> CUDA device count:", torch.cuda.device_count())
+    print("   -> Current device:", torch.cuda.current_device())
+    print("   -> GPU name:", torch.cuda.get_device_name(torch.cuda.current_device()))
+else:
+    print("   -> Running on CPU only")
+
+# Check MPS (for Apple Silicon M1/M2 Macs)
+if torch.backends.mps.is_available():
+    print("🍎 MPS (Apple GPU) available")