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>

Machine_Learning/.gitignore

@@ -1,9 +0,0 @@
-# Model artifacts — not stored in git. Uploaded to Hugging Face Hub after training.
-best_model/
-model/
-dataset/
-dataset.zip
-venv/
-__pycache__/
-*.pyc
-*.pyo

Machine_Learning/download_model.sh

@@ -1,43 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Download best_model.keras from Hugging Face Hub.
-#
-# Usage:
-#   bash download_model.sh                 # public repo — no auth needed
-#   HF_TOKEN=hf_xxx bash download_model.sh # private repo
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-DEST="${SCRIPT_DIR}/best_model/best_model.keras"
-REPO_ID="MythEclipse2737/zeavis-edu-model"
-
-: "${HF_TOKEN:=}"
-
-FORCE="${1:-}"
-
-if [ -f "$DEST" ] && [ "$FORCE" != "--force" ]; then
-    echo "Model already exists at $DEST (use --force to overwrite)"
-    exit 0
-fi
-
-mkdir -p "$(dirname "$DEST")"
-
-if command -v huggingface-cli &>/dev/null; then
-    huggingface-cli download "$REPO_ID" "best_model/best_model.keras" --local-dir "$(dirname "$DEST")" $( [ -n "$HF_TOKEN" ] && echo "--token $HF_TOKEN" )
-elif command -v hf &>/dev/null; then
-    hf download "$REPO_ID" "best_model/best_model.keras" --output "$DEST"
-elif command -v curl &>/dev/null; then
-    URL="https://huggingface.co/${REPO_ID}/resolve/main/best_model/best_model.keras"
-    curl -fL -o "$DEST" $( [ -n "$HF_TOKEN" ] && echo "-H Authorization: Bearer $HF_TOKEN" ) "$URL"
-else
-    echo "ERROR: Need curl or huggingface-cli installed."
-    exit 1
-fi
-
-if [ -f "$DEST" ]; then
-    echo "Downloaded: $DEST"
-    ls -lh "$DEST"
-else
-    echo "ERROR: Download failed."
-    exit 1
-fi

Machine_Learning/model/saved_model/fingerprint.pb

@@ -0,0 +1 @@
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:10851638082828504866

Machine_Learning/upload_model.sh

@@ -1,62 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Upload exported model artifacts (ONNX, TFLite) to Hugging Face Hub.
-#
-# Usage:
-#   bash upload_model.sh
-#   HF_TOKEN=hf_xxx bash upload_model.sh
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-REPO_ID="MythEclipse2737/zeavis-edu-model"
-: "${HF_TOKEN:=}"
-: "${HF_USER:=MythEclipse2737}"
-
-echo "Uploading model artifacts to Hugging Face Hub..."
-
-if ! command -v huggingface-cli &>/dev/null && ! python3 -c "from huggingface_hub import HfApi" 2>/dev/null; then
-    echo "ERROR: huggingface_hub not installed. pip install huggingface_hub"
-    exit 1
-fi
-
-python3 << PYEOF
-import os, sys
-sys.path.insert(0, "${SCRIPT_DIR}")
-
-from huggingface_hub import HfApi
-
-api = HfApi(token="${HF_TOKEN}" if "${HF_TOKEN}" else None)
-
-model_dir = "${SCRIPT_DIR}/model"
-onnx = os.path.join(model_dir, "model.onnx")
-tflite = os.path.join(model_dir, "model.tflite")
-saved_model_pb = os.path.join(model_dir, "saved_model", "saved_model.pb")
-repo_id = "${REPO_ID}"
-
-files_to_upload = []
-for local, remote in [
-    (onnx, "model/model.onnx"),
-    (tflite, "model/model.tflite"),
-    (saved_model_pb, "model/saved_model/saved_model.pb"),
-]:
-    if os.path.isfile(local):
-        files_to_upload.append((local, remote))
-        print(f"  Queued: {local} -> {remote}")
-    else:
-        print(f"  Skip (not found): {local}")
-
-for local, remote in files_to_upload:
-    print(f"  Uploading {remote}...")
-    api.upload_file(
-        path_or_fileobj=local,
-        path_in_repo=remote,
-        repo_id=repo_id,
-        repo_type="model",
-    )
-    print(f"  ✅ {remote} uploaded")
-
-if not files_to_upload:
-    print("  Nothing to upload.")
-else:
-    print(f"Upload complete: https://huggingface.co/{repo_id}")
-PYEOF