diff --git a/models/credit_card_fraud/predict.py b/models/credit_card_fraud/predict.py
index 4ae31eed..8c71cd82 100644
--- a/models/credit_card_fraud/predict.py
+++ b/models/credit_card_fraud/predict.py
@@ -67,7 +67,7 @@ def get_prediction(
     )
     # print(input_df.values)
     # Load the model
-    svm_model = load_model("models\credit_card_fraud\saved models\creditCardFraud_svc_model.pkl")
+    svm_model = load_model("models/credit_card_fraud/saved_models/creditCardFraud_svc_model.pkl")
 
     # Predict using Random Forest
     predicted_value = svm_model.predict(input_df)
diff --git a/models/credit_card_fraud/saved models/creditCardFraud_svc_model.pkl b/models/credit_card_fraud/saved_models/creditCardFraud_svc_model.pkl
similarity index 100%
rename from models/credit_card_fraud/saved models/creditCardFraud_svc_model.pkl
rename to models/credit_card_fraud/saved_models/creditCardFraud_svc_model.pkl
diff --git a/models/insurance_cost_predictor/model.py b/models/insurance_cost_predictor/model.py
index b075662e..4bc886ed 100644
--- a/models/insurance_cost_predictor/model.py
+++ b/models/insurance_cost_predictor/model.py
@@ -1,7 +1,7 @@
 from joblib import load
 
 # Load the trained model for insurance cost prediction
-model = load("models\insurance_cost_predictor\saved_models\insurance_model.pkl")
+model = load("models/insurance_cost_predictor/saved_models/insurance_model.pkl")
 
 def insurance_cost_prediction(age, sex, bmi, children, smoker, region):
     # Feature extraction and conversions