diff --git a/README.md b/README.md
index 5e45a86..ccef212 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@
   - [Intel® Distribution of OpenVINO™ Toolkit](#intel-distribution-of-openvino-toolkit)
   - [Intel® Movidius™ Neural Compute Stick 2](#intel-movidius-neural-compute-stick-2)
 - [Acute Lymphoblastic Leukemia oneAPI Classifier 2021](#acute-lymphoblastic-leukemia-oneapi-classifier-2021)
-  - [GETTING STARTED](#getting-started)
+- [GETTING STARTED](#getting-started)
 - [Contributing](#contributing)
   - [Contributors](#contributors)
 - [Versioning](#versioning)
@@ -100,10 +100,9 @@ Source: [Acute Lymphoblastic Leukemia Tensorflow Classifier 2020](https://github
 [Intel® Optimization for TensorFlow](https://software.intel.com/content/www/us/en/develop/articles/intel-optimization-for-tensorflow-installation-guide.html) optimizes the popular Tensorflow framework using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN). Intel® MKL-DNN is an open-source library for enhancing performance by accelerating deep learning libraries such as Tensorflow on Intel architecture.
 
 ## Intel® Distribution of OpenVINO™ Toolkit
-[Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html) is based on Convolutional Neural Networks and optimizes models used on Intel CPUs/GPUs, VPUs, FPGA etc. Models are converted to [Interassetste Representations (IR)](https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_IR_and_opsets.html) which allow them to be used with the [Inference Engine](https://docs.openvinotoolkit.org/2020.2/_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide.html).
+[Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html) is based on Convolutional Neural Networks and optimizes models used on Intel CPUs/GPUs, VPUs, FPGA etc. Models are converted to [Intermediate Representations (IR)](https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_IR_and_opsets.html) which allow them to be used with the [Inference Engine](https://docs.openvinotoolkit.org/2020.2/_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide.html).
 
 ## Intel® Movidius™ Neural Compute Stick 2
-(https://software.intel.com/content/www/us/en/develop/hardware/neural-compute-stick.html)
 The [Intel® Movidius™ Neural Compute Stick 2](https://software.intel.com/content/www/us/en/develop/hardware/neural-compute-stick.html) is a USB plug & play AI device for deep learning inference at the edge. Combined with the Intel® OpenVINO™ Toolkit, developers can develop, fine-tune, and deploy convolutional neural networks (CNNs) on low-power applications that require real-time inference.
 
  
@@ -122,7 +121,9 @@ To create the newly improved **Acute Lymphoblastic Leukemia oneAPI Classifier 20
 
 - Test the model using commandline and classify unseen data using HTTP requests to a local API endpoint and via the HIAS network.
 
-## GETTING STARTED
+ 
+
+# GETTING STARTED
 
 Ready to get started ? Head over to the [Getting Started guide](documentation/getting-started.md) for instructions on how to download/install and setup the Acute Lymphoblastic Leukemia oneAPI Classifier 2021.