diff --git a/backend/core/serializers.py b/backend/core/serializers.py
index a1e6fa43..10529599 100644
--- a/backend/core/serializers.py
+++ b/backend/core/serializers.py
@@ -221,6 +221,7 @@ class PredictionParamSerializer(serializers.Serializer):
     model_id = serializers.IntegerField(required=True)
     zoom_level = serializers.IntegerField(required=True)
     confidence = serializers.IntegerField(required=False)
+    use_josm_q = serializers.BooleanField(required=False)
     source = serializers.URLField(required=False)
 
     def validate(self, data):
diff --git a/backend/core/utils.py b/backend/core/utils.py
index 8612258c..fdc3fe32 100644
--- a/backend/core/utils.py
+++ b/backend/core/utils.py
@@ -119,7 +119,6 @@ def download_image(url, base_path, source_name):
     response = requests.get(url)
     image = response.content
     url = re.sub(r"\.(png|jpeg)$", "", url)
-    logging.info(url)
 
     url_splitted_list = url.split("/")
     filename = f"{base_path}/{source_name}-{url_splitted_list[-2]}-{url_splitted_list[-1]}-{url_splitted_list[-3]}.png"
diff --git a/backend/core/views.py b/backend/core/views.py
index eb99d80a..0fcf56d6 100644
--- a/backend/core/views.py
+++ b/backend/core/views.py
@@ -30,6 +30,7 @@
 from hot_fair_utilities import polygonize, predict, vectorize
 from login.authentication import OsmAuthentication
 from login.permissions import IsOsmAuthenticated
+from orthogonalizer import othogonalize_poly
 from osmconflator import conflate_geojson
 from rest_framework import decorators, serializers, status, viewsets
 from rest_framework.decorators import api_view
@@ -374,7 +375,7 @@ def ConflateGeojson(request):
 
     conflated_geojson = conflate_geojson(geojson_data, remove_conflated=True)
 
-    return Response(conflated_geojson,status = 200)
+    return Response(conflated_geojson, status=200)
 
 
 @api_view(["GET"])
@@ -501,6 +502,7 @@ def post(self, request, *args, **kwargs):
         if res_serializer.is_valid(raise_exception=True):
             deserialized_data = res_serializer.data
             bbox = deserialized_data["bbox"]
+            use_josm_q = deserialized_data["use_josm_q"]
             model_instance = get_object_or_404(Model, id=deserialized_data["model_id"])
             if not model_instance.published_training:
                 return Response("Model is not published yet", status=404)
@@ -589,6 +591,8 @@ def post(self, request, *args, **kwargs):
                 for feature in geojson_data["features"]:
                     feature["properties"]["building"] = "yes"
                     feature["properties"]["source"] = "fAIr"
+                    if use_josm_q is True:
+                        feature["geometry"] = othogonalize_poly(feature["geometry"])
 
                 shutil.rmtree(temp_path)
 
diff --git a/backend/requirements.txt b/backend/requirements.txt
index 54ae9966..d6bc29bb 100644
--- a/backend/requirements.txt
+++ b/backend/requirements.txt
@@ -19,4 +19,5 @@ validators==0.20.0
 gpxpy==1.5.0
 hot-fair-utilities
 geojson2osm==0.0.1
-osmconflator==0.0.6
\ No newline at end of file
+osmconflator==0.0.6
+orthogonalizer==0.0.4
\ No newline at end of file
diff --git a/frontend/src/components/Layout/Start/Prediction/Prediction.js b/frontend/src/components/Layout/Start/Prediction/Prediction.js
index 3270432a..57281074 100644
--- a/frontend/src/components/Layout/Start/Prediction/Prediction.js
+++ b/frontend/src/components/Layout/Start/Prediction/Prediction.js
@@ -4,6 +4,7 @@ import {
   Button,
   Grid,
   Box,
+  Switch,
   CircularProgress,
   Paper,
   Typography,
@@ -56,6 +57,10 @@ const Prediction = () => {
 
   const [apiCallInProgress, setApiCallInProgress] = useState(false);
   const [confidence, setConfidence] = useState(90);
+  const [use_josm_q, setUse_josm_q] = useState(true);
+  const handleUseJosmToggle = () => {
+    setUse_josm_q(!use_josm_q);
+  };
   const [totalPredictionsCount, settotalPredictionsCount] = useState(0);
   // const [DeletedCount, setDeletedCount] = useState(0);
   // const [CreatedCount, setCreatedCount] = useState(0);
@@ -210,6 +215,7 @@ const Prediction = () => {
       zoom_level: zoom,
       source: dataset.source_imagery,
       confidence: confidence,
+      use_josm_q: use_josm_q,
     };
     const startTime = new Date().getTime(); // measure start time
     const res = await axios.post(`/prediction/`, body, { headers });
@@ -498,6 +504,7 @@ const Prediction = () => {
                   </Tooltip>
                   <FormControl size="small">
                     <Select
+                      size="small"
                       value={confidence}
                       onChange={(e) => setConfidence(e.target.value)}
                       style={{ width: "80px", fontSize: "12px" }} // Adjust width and font size
@@ -511,6 +518,17 @@ const Prediction = () => {
                     </Select>
                   </FormControl>
                 </Box>
+                <Box display="flex" alignItems="center" mt={2}>
+                  <Typography variant="body2" style={{ marginRight: "10px" }}>
+                    <strong>Use JOSM Q: </strong>
+                  </Typography>
+                  <Switch
+                    size="small"
+                    checked={use_josm_q}
+                    onChange={handleUseJosmToggle}
+                    color="primary"
+                  />
+                </Box>
                 <Typography variant="body2">
                   <strong> Current Zoom:</strong> {JSON.stringify(zoom)}
                 </Typography>