diff --git a/README.md b/README.md
index e1de437b0e1956c8dbb568ffb274f312b432ec61..bda96c3fb352f0adee6a5696bd05d597d54cb292 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@ MSO 3.4 Machine Learning
 
 
 [![](https://img.shields.io/badge/License-MIT-blue.svg)](https://rfarssi.mit-license.org/)
-[![Travis](https://img.shields.io/badge/language-Python-red.svg)]()
+[![Travis](https://img.shields.io/badge/language-Python-red.svg)](https://www.python.org/)
 
 # Description
 This project will involve practical application, where we will begin by implementing a basic reinforcement learning algorithm to tackle the CartPole-v1 environment. Once we are comfortable with this initial process, we will expand our knowledge by utilizing a range of tools for model training, monitoring and sharing in machine learning. We will then apply these tools to train a robotic arm, further extending our understanding of how they can be used in practice.
@@ -15,6 +15,9 @@ This project will involve practical application, where we will begin by implemen
     * [REINFORCE CartPole](#reinforce-cartpole)
     * [CartPole-v1](#cartpole-v1)
     * [PandaReachJointsDense-v2](#pandareachjointsdense-v2)
+* [Further links](#further-links)
+    * [Hugging Face Hub](#hugging-face-hub)
+    * [Weights & Biases](#weights-biases)
 * [About the Project](#about-the-project)
     * [Project status](#project-status)
     * [Contribution](#contribution)
@@ -79,14 +82,14 @@ pip install panda_gym==2.0.0
 # Further links
 
 ## Hugging Face Hub
-Hugging Face Hub is a platform that allows users to upload and share their own models and datasets, collaborate with others, and track and manage different versions of their work. 
+`Hugging Face Hub` is a platform that allows users to upload and share their own models and datasets, collaborate with others, and track and manage different versions of their work. 
 
-The project's implementation on the plateform `Hugging Face` was saved here [here](https://huggingface.co/rfarssi00/hands-on-rl/tree/main).
+The project's implementation was saved here [here](https://huggingface.co/rfarssi00/hands-on-rl/tree/main).
 
 ## Weights & Biases
-Weights & Biases is a machine learning platform that allows users to visualize and compare training runs, track and analyze model performance, and streamline collaboration across teams. 
+`Weights & Biases` is a machine learning platform that allows users to visualize and compare training runs, track and analyze model performance, and streamline collaboration across teams. 
 
-The model's training process has been monitored and is shown [here]().
+<!-- The model's training process has been monitored and is shown [here]().-->
 
 # About the Project