feat: push deploy pipeline - auth, sidebar layout, ML artifacts, LFS

Notable changes:
- Add .gitattributes for LFS tracking on ML model artifacts
- Add AuthGuard to all protected routes + login/register/logout flow
- Add collapsible Sidebar replacing old Navbar
- Redesign MainLayout with sidebar + mobile header
- Add password show/hide toggle to AuthForm
- Add Logout button to MobileNav
- Update footer credit to ATLAS Project - Pijak x IBM SkillsBuild
- Update deploy.yml: generate ONNX in CI (vs HuggingFace download)
- Remove deprecated ML scripts (download/upload model .sh, .gitignore)
- Remove stale MEMORY.md
- Add ML model artifacts (TFLite, SavedModel, TFJS)
- Update notebook.ipynb training pipeline

Co-Authored-By: Claude <noreply@anthropic.com>

.github/workflows/deploy.yml

@@ -28,6 +28,8 @@ jobs:
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
+        with:
+          lfs: true
 
       - name: Set image prefix
         run: echo "IMAGE_PREFIX=ghcr.io/${GITHUB_REPOSITORY,,}" >> "$GITHUB_ENV"
@@ -35,19 +37,19 @@ jobs:
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 
-      - name: Download ONNX model from Hugging Face Hub
+      - name: Set up Python for ONNX conversion
         if: matrix.service.name == 'ml'
-        env:
-          HF_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Generate ONNX model artifact
+        if: matrix.service.name == 'ml'
+        working-directory: Machine_Learning
         run: |
-          mkdir -p Machine_Learning/model
-          if [ -n "$HF_TOKEN" ]; then
-            AUTH_HEADER="-H Authorization: Bearer $HF_TOKEN"
-          fi
-          curl -fL $AUTH_HEADER \
-            "https://huggingface.co/MythEclipse2737/zeavis-edu-model/resolve/main/model/model.onnx" \
-            -o "Machine_Learning/model/model.onnx"
-          ls -lh Machine_Learning/model/model.onnx
+          python -m pip install --upgrade pip
+          python -m pip install 'tensorflow>=2.13.0' 'tf2onnx>=1.16.1' 'onnx>=1.16.0'
+          python convert_onnx.py
 
       - name: Log in to GHCR
         uses: docker/login-action@v3