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_ai_service.py

@@ -0,0 +1,33 @@
+import os
+from app.services.global_ai import get_ai_service
+
+# Initialize AI service
+ai_service = get_ai_service()
+
+if ai_service is None:
+    print("AI Service failed to initialize.")
+    exit(1)
+
+# ----------------------
+# Test classification
+# ----------------------
+test_image = "D:\CTF_Hackathon\gensprintai2025\images\dtreet_light_1.jpg"
+
+if not os.path.exists(test_image):
+    print(f"Test image not found at {test_image}")
+    exit(1)
+
+try:
+    category = ai_service.classify_category(test_image)
+    print(f"Classification result: {category}")
+except Exception as e:
+    print(f"Classification failed: {e}")
+
+# ----------------------
+# Test detection / severity
+# ----------------------
+try:
+    severity, output_path = ai_service.detect_pothole_severity(test_image, "tests/output.jpg")
+    print(f"Detection result: Severity={severity}, Output saved to {output_path}")
+except Exception as e:
+    print(f"Detection failed: {e}")