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/Machine_Learning/broken_street_light.py

@@ -0,0 +1,33 @@
+# from bing_image_downloader import downloader
+
+# downloader.download(
+#     "broken streetlight", 
+#     limit=100, 
+#     output_dir='dataset_downloads', 
+#     adult_filter_off=True, 
+#     force_replace=False, 
+#     timeout=60
+# )
+
+from bing_image_downloader import downloader
+from pathlib import Path
+
+# ---------- CONFIG ----------
+CLASS_NAME = "drainage"
+LIMIT = 200  # number of images to download
+OUTPUT_DIR = Path("dataset_downloads")  # folder to store downloaded images
+
+# Ensure the output directory exists
+OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+# ---------- DOWNLOAD IMAGES ----------
+downloader.download(
+    CLASS_NAME,
+    limit=LIMIT,
+    output_dir=str(OUTPUT_DIR),
+    adult_filter_off=True,   # keep it safe
+    force_replace=False,     # don't overwrite if already downloaded
+    timeout=60               # seconds per request
+)
+
+print(f"✅ Downloaded {LIMIT} images for class '{CLASS_NAME}' in '{OUTPUT_DIR}'")