Update README.md

README.md

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 # Model Card for FCD: Fourier Convolutional Decoder for Solar Data
 
-<!-- Provide a quick summary of what the model is/does. -->
+FCD (Fourier Convolutional Decoder) is an autoencoder model designed to reconstruct solar images from compressed or transformed data, especially from data collected by space instruments like (Spectrometer/Telescope for Imaging X-rays) STIX on the Solar Orbiter. 
+
+FCD is lightweight, fast, and uses less energy than traditional methods, making it suitable for use onboard satellites or in limited computing environments.
+
+It has been trained to handle solar X-ray data and produces clearer images with fewer artifacts compared to previous approaches. 
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
 - **Developed and shared by:** Merve Selçuk-Şimşek
-- **Funded by:** Project [RODEM](https://rodem.ch) by SNSF through [FHNW](https://www.fhnw.ch/en/about-fhnw/schools/school-of-engineering/institutes/institute-for-data-science)
+- **Funded by:** Project [RODEM](https://rodem.ch) by SNSF through [FHNW](https://www.fhnw.ch/en/about-fhnw/schools/computer-science/institute-for-data-science)
 - **Model type:** Autoencoder
 - **License:** MIT
 
-### Model Sources [optional]
+### Model Sources
 
 <!-- Provide the basic links for the model. -->
 
@@ -57,7 +59,7 @@ Please see [fcd_demo](fcd_demo.ipynb) for the full demonstration of how to use t
 
 ### Training Data
 
-Training data consists of a simulated set which can be found in ...
+Training data can be generated via the code at [GitHub](https://github.com/i4Ds/stix-data-generator).
 
 #### Preprocessing
 
@@ -78,9 +80,7 @@ For the outputs, reconstructed solar flare images, it is to have a steady flux i
 
 #### Testing Data
 
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
+Testing data can be generated via the code at [GitHub](https://github.com/i4Ds/stix-data-generator).
 
 #### Metrics & Results