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diff --git a/onert-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp b/onert-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp
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+++ b/onert-micro/luci-interpreter/src/kernels/ResizeBilinear.cpp
@@ -0,0 +1,118 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Builders.h"
+#include "kernels/Utils.h"
+
+#include "kernels/BinaryOpCommon.h"
+
+#include "PALResizeBilinear.h"
+
+namespace luci_interpreter
+{
+
+/*
+ * ResizeBilinear Kernel:
+ * Description: resizing input Tensor by input constants using Bilinear Interpolation
+ * 2 Inputs: Input tensor ( Shape dimensions count = 4); Input constant (Shape dimensions count = 1,
+ * Num elements =2) Parameters: align_corners; half_pixel_centers;
+ *
+ * Example:
+ *                       Input(2, 2, 2, 1)
+ *                               |
+ *                               |   Constant Input(2) [3,3] INT32
+ *                               |  /
+ *                          ResizeBilinear
+ *                                 |
+ *                         Output(2, 3, 3, 1) UINT8
+ */
+
+void configure_kernel_CircleResizeBilinear(const circle::Operator *cur_op,
+                                           BaseRuntimeGraph *runtime_graph)
+{
+  // Check of the size of input. Should be 2
+  assert(cur_op->inputs()->size() == 2);
+  const auto input_index = cur_op->inputs()->operator[](0);
+  const auto size_index = cur_op->inputs()->operator[](1);
+  const auto output_index = cur_op->outputs()->operator[](0);
+
+  assert(input_index != -1);
+  assert(size_index != -1);
+  assert(output_index != -1);
+  // Get tensors
+  const auto input = runtime_graph->getCircleTensorByIndex(input_index);
+  const auto size = runtime_graph->getCircleTensorByIndex(size_index);
+  const auto output = runtime_graph->getCircleTensorByIndex(output_index);
+  // Check of the Input shape
+  assert(kernels::getTensorShape(input).dimensionsCount() == 4);
+  // Check of the Const input size shape
+  assert(kernels::getTensorShape(size).dimensionsCount() == 1);
+  assert(Tensor::element_type(size) == DataType::S32);
+  assert(kernels::getTensorShape(size).dims(0) == 2);
+
+  const auto *params = cur_op->builtin_options_as_ResizeBilinearOptions();
+  if (params->half_pixel_centers() && params->align_corners())
+    assert(false && "If half_pixel_centers is True, align_corners must be False.");
+}
+
+void execute_kernel_CircleResizeBilinear(const circle::Operator *cur_op,
+                                         BaseRuntimeGraph *runtime_graph)
+{
+  assert(cur_op->inputs()->size() == 2);
+  const auto input_index = cur_op->inputs()->operator[](0);
+  const auto size_index = cur_op->inputs()->operator[](1);
+  const auto output_index = cur_op->outputs()->operator[](0);
+
+  assert(input_index != -1);
+  assert(size_index != -1);
+  assert(output_index != -1);
+
+  const auto input = runtime_graph->getCircleTensorByIndex(input_index);
+  const auto size = runtime_graph->getCircleTensorByIndex(size_index);
+  const auto output = runtime_graph->getCircleTensorByIndex(output_index);
+
+  const uint8_t *input_data = runtime_graph->getDataByTensor(input);
+  const uint8_t *size_data = runtime_graph->getConstDataByTensor(size);
+  uint8_t *output_data = runtime_graph->getDataByTensor(output);
+
+  assert(input_data != nullptr);
+  assert(size_data != nullptr);
+  assert(output_data != nullptr);
+
+  // Get parameters
+  const auto *op_params = cur_op->builtin_options_as_ResizeBilinearOptions();
+
+  switch (Tensor::element_type(output))
+  {
+    case DataType::FLOAT32:
+      luci_interpreter_pal::ResizeBilinear(
+        op_params, kernels::getTensorShape(input), kernels::getTensorData<float>(input_data),
+        kernels::getTensorShape(size), kernels::getTensorData<int32_t>(size_data),
+        kernels::getTensorShape(output), kernels::getTensorData<float>(output_data));
+      break;
+    case DataType::U8:
+      luci_interpreter_pal::ResizeBilinear(
+        op_params, kernels::getTensorShape(input), kernels::getTensorData<uint8_t>(input_data),
+        kernels::getTensorShape(size), kernels::getTensorData<int32_t>(size_data),
+        kernels::getTensorShape(output), kernels::getTensorData<uint8_t>(output_data));
+      break;
+    default:
+      assert(false && "Unsupported type.");
+  }
+}
+
+} // namespace luci_interpreter