Update README.md

README.md

@@ -45,13 +45,12 @@ datasets:
 
 
 ## Introduction:
-RadNet it is composed of 2 LSTM (Long-Short Term Memory) layers that helps the model to identify patterns from the dataset, that was trained on ([lucazsh/RadNet](https://huggingface.co/lucazsh/RadNet)), which will facilitate the prediction of the daily radiation amount as well as solar storms in LEO (Low Earth Orbit). This model was also featured by the National Space Society (NSS) under the project Aletheia.
+RadNet it is composed of 2 LSTM (Long-Short Term Memory) layers that helps the model to identify patterns from the dataset, that was trained on ([lucazsh/RadNet](https://huggingface.co/lucazsh/RadNet)), which will facilitate the prediction of the daily radiation amount as well as solar storms in LEO (Low Earth Orbit). This model was also featured by the __National Space Society (NSS)__ under the project __Aletheia__.
 
 The radiation data was extracted from the NASA OSDR EDA API (https://visualization.osdr.nasa.gov/eda/), from the RR's missions (RR-1, RR-3, RR-4, RR-6, RR-8, RR-9, RR-12, RR-17, and RR-19).
 
-## Installation:
-
-Make sure you have Python 3.10+ installed on your system. If not, you can download it from [python.org](https://www.python.org/).
+## Installation
+To install the dependencies, you need to make sure you have Python 3.10+ installed on your system. If not, you can download it from [python.org](https://www.python.org/).
 
 Install dependencies:                                          
 ```bash
@@ -60,7 +59,7 @@ pip install numpy json torch
 
 ## Code:
 
-Below is a Python code that runs the AI and displays the daily radiation dose and solar storm:
+Below is the Python code that runs the RadNet model and displays the daily radiation dose and solar storm:
 ```
 import json
 import torch