feat: swap weather image recognition with eurosat

src/components/About/Console.tsx

@@ -25,7 +25,7 @@ export const Console = (): JSX.Element => {
           <span className="mr-[6px] text-green-400">
             <ArrowNarrowRight className="inline" width={20} height={20} />
           </span>
-          Beyond my programming experience, I completed my bachelor's degree{' '}
+          Beyond my programming experience, I completed my bachelor's degree at{' '}
           <span className="text-blue-400">
             University of Economics in Katowice
           </span>{' '}

src/components/Welcome/MainText.tsx

@@ -5,7 +5,7 @@ export const MainText = (): JSX.Element => {
         Hi, I'm <span className="font-bold text-gradient">Karol</span>
       </h1>
       <h2 className="text-2xl text-right">Frontend Developer</h2>
-      <h3 className="text-2xl text-right">Software Engineer</h3>
+      <h3 className="text-xl text-right">Software Engineer</h3>
       <h3 className="text-right">Based in Katowice, Poland</h3>
       <h2 className="hidden mt-6 text-xl text-right xs:text-2xl md:text-3xl lg:text-4xl xs:mt-12 md:mt-16">
         Karol Stawowski

src/constants/projects.ts

@@ -59,6 +59,23 @@ export const projectsList: ProjectEntry[] = [
       iconsList
     ),
   },
+
+  {
+    name: 'OxiZip',
+    imageName: 'oxizip',
+    description:
+      'A file archiver for Windows operating system. Program allows you to create and unpack ZIP archives. Created with .NET Windows Forms framework.',
+    technologies: filterIcons(['C#'], iconsList),
+    repositoryUrl: 'https://github.com/karolstawowski/OxiZip',
+  },
+  {
+    name: 'EuroSAT',
+    imageName: 'eurosat',
+    description:
+      'Set of neural networks to perform satelitte image land cover classification. Sentinel-2 satelitte images as training dataset. Best accuracy: DenseNet121 - 95,30%',
+    technologies: filterIcons(['Tensorflow', 'Python', 'Keras'], iconsList),
+    repositoryUrl: 'https://github.com/karolstawowski/EuroSAT',
+  },
   {
     name: 'MinesweeperTS',
     imageName: 'minesweeper',
@@ -71,14 +88,6 @@ export const projectsList: ProjectEntry[] = [
     repositoryUrl: 'https://github.com/karolstawowski/MinesweeperTS',
     livePreviewUrl: 'https://karolstawowski.github.io/MinesweeperTS',
   },
-  {
-    name: 'OxiZip',
-    imageName: 'oxizip',
-    description:
-      'A file archiver for Windows operating system. Program allows you to create and unpack ZIP archives. Created with .NET Windows Forms framework.',
-    technologies: filterIcons(['C#'], iconsList),
-    repositoryUrl: 'https://github.com/karolstawowski/OxiZip',
-  },
   {
     name: 'False Bravery',
     imageName: 'false_bravery',
@@ -87,14 +96,6 @@ export const projectsList: ProjectEntry[] = [
     technologies: filterIcons(['Python'], iconsList),
     repositoryUrl: 'https://github.com/karolstawowski/false_bravery',
   },
-  {
-    name: 'Weather Image Recognition',
-    imageName: 'weather_image_recognition',
-    description:
-      'Machine learning model based on Convolutional Neural Network with an objective of recognising weather present in images. Achieved test dataset accuracy on the level of 68.8%.',
-    technologies: filterIcons(['Tensorflow', 'Python'], iconsList),
-    repositoryUrl: 'https://github.com/karolstawowski/WeatherImageRecognition',
-  },
 ]
 
 export const openSourceProjectsList: OpenSourceProjectEntry[] = [