Add new research and academic projects: Dropout Reduces Underfitting, GLM Bikes, ML Loan Prediction, and Breast Cancer Detection

- Implemented a new research project on Dropout strategies in deep learning, including detailed objectives, methodology, and usage instructions.
- Created a project for predicting bike rentals using Generalized Linear Models, outlining objectives, methodology, and key findings.
- Developed a machine learning project for loan prediction, detailing objectives, methodology, and a report on model performance.
- Added a project focused on breast cancer detection using various classification models, including objectives, methodology, and resources.
- Updated package.json with author information and upgraded dependencies.

app/components/home/live/StatusPage.vue

@@ -1,7 +1,7 @@
 <script lang="ts" setup>
 import type { StatusPageData } from '~~/types'
 
-const { data, status } = await useAsyncData<StatusPageData>('home-status', () =>
+const { data, status, error } = await useAsyncData<StatusPageData>('home-status', () =>
   $fetch('/api/status-page'),
 { lazy: true }
 )
@@ -49,7 +49,7 @@ const statusState = computed(() => {
 
 <template>
   <ClientOnly>
-    <UCard class="h-full flex flex-col overflow-hidden">
+    <UCard v-if="!error" class="h-full flex flex-col overflow-hidden">
       <div class="p-5 border-b border-neutral-200 dark:border-neutral-800">
         <div class="flex items-center justify-between mb-2">
           <h3 class="font-bold text-neutral-900 dark:text-white text-sm">

content/projects/dl-dropout-reduces-underfitting.md

@@ -1,5 +1,5 @@
 ---
-slug: dropout-reduces-underfitting
+slug: dl-dropout-reduces-underfitting
 title: Dropout Reduces Underfitting
 type: Research Project
 description: TensorFlow/Keras implementation and reproduction of "Dropout Reduces Underfitting" (Liu et al., 2023). A comparative study of Early and Late Dropout strategies to optimize model convergence.
@@ -154,4 +154,4 @@ According to the paper, you should observe:
 
 M.Sc. Statistical and Financial Engineering (ISF) - Data Science Track at Université Paris-Dauphine PSL
 
-Based on the work of Liu, Z., et al. (2023). Dropout Reduces Underfitting.
+Based on the work of Liu, Z., et al. (2023). Dropout Reduces Underfitting.

content/projects/glm-bikes.md

@@ -1,5 +1,5 @@
 ---
-slug: bikes-glm
+slug: glm-bikes
 title: Generalized Linear Models for Bikes Prediction
 type: Academic Project
 description: Predicting the number of bikes rented in a bike-sharing system using Generalized Linear Models and various statistical techniques.

content/projects/ml-loan.md

@@ -1,5 +1,5 @@
 ---
-slug: loan-ml
+slug: ml-loan
 title: Machine Learning for Loan Prediction
 type: Academic Project
 description: Predicting loan approval and default risk using machine learning classification techniques.
@@ -37,4 +37,4 @@ The study employs various machine learning approaches:
 ## 📄 Detailed Report
 
 <iframe src="/projects/loan-ml.pdf" width="100%" height="1000px">
-</iframe>
+</iframe>

content/projects/sl-breast-cancer.md

@@ -1,5 +1,5 @@
 ---
-slug: breast-cancer
+slug: sl-breast-cancer
 title: Breast Cancer Detection
 type: Academic Project
 description: Prediction of breast cancer presence by comparing several supervised classification models using machine learning techniques.

package.json

@@ -1,6 +1,12 @@
 {
   "name": "artsite",
   "private": true,
+  "author": {
+    "email": "arthurdanjou@outlook.fr",
+    "name": "Arthur Danjou",
+    "url": "https://arthurdanjou.fr"
+  },
+  "packageManager": "bun@1.3.8",
   "scripts": {
     "build": "nuxi build",
     "dev": "nuxi dev",
@@ -11,36 +17,36 @@
     "cf-typegen": "wrangler types"
   },
   "dependencies": {
-    "@libsql/client": "^0.15.15",
-    "@nuxt/content": "3.10.0",
-    "@nuxt/eslint": "1.12.1",
-    "@nuxt/ui": "^4.3.0",
-    "@nuxthub/core": "0.10.4",
-    "@nuxtjs/mdc": "0.19.2",
-    "@nuxtjs/seo": "3.3.0",
-    "@vueuse/core": "^14.1.0",
-    "@vueuse/math": "^14.1.0",
-    "better-sqlite3": "^12.5.0",
-    "drizzle-kit": "^0.31.8",
+    "@libsql/client": "^0.17.0",
+    "@nuxt/content": "3.11.2",
+    "@nuxt/eslint": "1.15.1",
+    "@nuxt/ui": "^4.4.0",
+    "@nuxthub/core": "0.10.6",
+    "@nuxtjs/mdc": "0.20.1",
+    "@nuxtjs/seo": "3.4.0",
+    "@vueuse/core": "^14.2.1",
+    "@vueuse/math": "^14.2.1",
+    "better-sqlite3": "^12.6.2",
+    "drizzle-kit": "^0.31.9",
     "drizzle-orm": "^0.45.1",
-    "nuxt": "4.2.2",
-    "nuxt-studio": "1.0.0",
-    "vue": "3.5.26",
-    "vue-router": "4.6.4",
-    "zod": "^4.3.5"
+    "nuxt": "4.3.1",
+    "nuxt-studio": "1.3.2",
+    "vue": "3.5.28",
+    "vue-router": "5.0.2",
+    "zod": "^4.3.6"
   },
   "devDependencies": {
-    "@iconify-json/devicon": "1.2.56",
+    "@iconify-json/devicon": "1.2.58",
     "@iconify-json/file-icons": "^1.2.2",
     "@iconify-json/logos": "^1.2.10",
     "@iconify-json/ph": "^1.2.2",
     "@iconify-json/twemoji": "1.2.5",
-    "@iconify-json/vscode-icons": "1.2.37",
-    "@types/node": "25.0.3",
-    "@vueuse/nuxt": "14.1.0",
-    "eslint": "9.39.2",
+    "@iconify-json/vscode-icons": "1.2.42",
+    "@types/node": "25.2.3",
+    "@vueuse/nuxt": "14.2.1",
+    "eslint": "10.0.0",
     "typescript": "^5.9.3",
-    "vue-tsc": "3.2.2",
-    "wrangler": "4.54.0"
+    "vue-tsc": "3.2.4",
+    "wrangler": "4.65.0"
   }
 }