Update README.md

README.md

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 ## 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 in the __National Space Society (NSS) contest__ 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).