diff --git a/ogbv-ml-rest/README.md b/ogbv-ml-rest/README.md
index e2063d8a..4e01649b 100644
--- a/ogbv-ml-rest/README.md
+++ b/ogbv-ml-rest/README.md
@@ -1,22 +1,24 @@
-# Go through the following steps to run the server using docker locally: 
+# OGBV ML REST Server
 
-## 1. Clone the repository in your local machine and navigate to the 'FastAPI - OGBV' folder.
-## 2. Run the following command to build the docker. Note that if you are on a Windows machine, you will need to change the file format of the 'download_model' file to 'unix'. More information on this can be found [here](https://tanutaran.medium.com/solving-git-lf-will-be-replaced-by-crlf-7ca84eb0aad4) and [here](https://stackoverflow.com/questions/19425857/env-python-r-no-such-file-or-directory).
+## Developing Locally
+
+1. Clone the repository in your local machine and navigate to the 'FastAPI - OGBV' folder.
+2. Run the following command to build the docker. Note that if you are on a Windows machine, you will need to change the file format of the 'download_model' file to 'unix'. More information on this can be found [here](https://tanutaran.medium.com/solving-git-lf-will-be-replaced-by-crlf-7ca84eb0aad4) and [here](https://stackoverflow.com/questions/19425857/env-python-r-no-such-file-or-directory).
 
 ```
 docker build -t ml .
 ```
-## 3. After your docker is built, run it using the following command
+3. After your docker is built, run it using the following command
 ```
 docker run -p 8080:80 ml
 ```
 
-## 4. Test the API endpoint by running the following command:
+4. Test the API endpoint by running the following command:
 
 ```
 curl -X POST http://localhost:8080/predict -H 'Content-Type: application/json' -d '{"text":"The food in this restaurant is disgusting"}'
 ```
-### Note that if you are on windows and are using PowerShell, you might need to run this command instead of the previous one for making POST requests:
+Note that if you are on windows and are using PowerShell, you might need to run this command instead of the previous one for making POST requests:
 ```
 Invoke-RestMethod -Method 'Post' -Uri http://localhost:8080/predict -Body (@{"text"="The food in this restaurant is disgusting"}|ConvertTo-Json) -ContentType "application/json"
 ```