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/train_deetction.py

@@ -0,0 +1,17 @@
+from ultralytics import YOLO
+
+def train():
+    model = YOLO("yolov12n.pt")  # pretrained YOLOv8 small
+    model.train(
+        data="D:/CTF_Hackathon/gensprintai2025/pothole-detection-yolov12.v2i.yolov12/data.yaml",
+        epochs=10,
+        imgsz=512,
+        batch=8,
+        device=0,
+        project="checkpoints",
+        name="pothole_detector",
+        exist_ok=True
+    )
+
+if __name__ == "__main__":
+    train()