Update README.md

README.md

@@ -33,7 +33,7 @@ features = extract_features("path/to/image.jpg")
 predicted_depth = model.predict([features])
 print(predicted_depth[0])
 ```
-**NOTE:** extract_features() is a predefined function in the original code which uses ResNet50 to extract features out of the image
+**NOTE:** extract_features() is a predefined function in the original code which uses ResNet50 to extract features out of the image.
 
 ## Key Features
 - **Model Architecture**:
@@ -105,7 +105,7 @@ If you want to retrain the model, follow these steps:
    with open("model.pkl", "wb") as f:
        pickle.dump(regressor, f)
    ```
-**NOTE:** This pipeline has just the base fundamental code more additional parameter tunings and preprocessing steps were being conducted during the training of the original model
+**NOTE:** This pipeline has just the base fundamental code more additional parameter tunings and preprocessing steps were being conducted during the training of the original model.
 
 
 ## License