diff --git a/python/scripts/utils/model_identification.py b/python/scripts/utils/model_identification.py
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+++ b/python/scripts/utils/model_identification.py
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+# Copyright (c) 2021 Arm Limited.
+#
+# SPDX-License-Identifier: MIT
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to
+# deal in the Software without restriction, including without limitation the
+# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+# sell copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+import logging
+import os
+
+
+def is_tflite_model(model_path):
+    """Check if a model is of TfLite type
+
+    Parameters:
+    ----------
+    model_path: str
+        Path to model
+
+    Returns
+    ----------
+    bool:
+        True if given path is a valid TfLite model
+    """
+
+    try:
+        with open(model_path, "rb") as f:
+            hdr_bytes = f.read(8)
+            hdr_str = hdr_bytes[4:].decode("utf-8")
+            if hdr_str == "TFL3":
+                return True
+            else:
+                return False
+    except:
+        return False
+
+
+def identify_model_type(model_path):
+    """Identify the type of a given deep learning model
+
+    Parameters:
+    ----------
+    model_path: str
+        Path to model
+
+    Returns
+    ----------
+    model_type: str
+        String representation of model type or 'None' if type could not be retrieved.
+    """
+
+    if not os.path.exists(model_path):
+        logging.warn(f"Provided model {model_path} does not exist!")
+        return None
+
+    if is_tflite_model(model_path):
+        model_type = "tflite"
+    else:
+        logging.warn(logging.warn(f"Provided model {model_path} is not of supported type!"))
+        model_type = None
+
+    return model_type