diff --git a/pyproject.toml b/pyproject.toml
index 7ea1ddc..5f89dbb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,97 +5,97 @@ description = "GCP ML pipeline for code challenge."
 requires-python = ">=3.13"
 dependencies = [
     # Core ML & Data
-    "catboost>=1.2",
-    "scikit-learn>=1.4",
-    "pandas>=2.2",
-    "numpy>=1.26",
+    "catboost>=1.2.10",
+    "scikit-learn>=1.8.0",
+    "pandas>=3.0.2",
+    "numpy>=2.4.4",
 
     # API & Serving
-    "litestar>=2.5",
-    "msgspec>=0.18",
-    "uvicorn[standard]>=0.27",
+    "litestar>=2.21.1",
+    "msgspec>=0.21.0",
+    "uvicorn[standard]>=0.44.0",
 
     # GCP Integration
-    "google-cloud-aiplatform>=1.40",
-    "google-cloud-bigquery>=3.17",
-    "google-cloud-storage>=2.14",
-    "google-cloud-secret-manager>=2.18",
-    "pandas-gbq>=0.23",
-    "db-dtypes>=1.2",
+    "google-cloud-aiplatform>=1.147.0",
+    "google-cloud-bigquery>=3.41.0",
+    "google-cloud-storage>=3.10.1",
+    "google-cloud-secret-manager>=2.27.0",
+    "pandas-gbq>=0.35.0",
+    "db-dtypes>=1.5.1",
 
     # Feature Engineering
-    "dbt-core>=1.11",
-    "dbt-bigquery>=1.11",
+    "dbt-core>=1.11.8",
+    "dbt-bigquery>=1.11.1",
 
     # Logging
-    "loguru>=0.7",
-    "rich>=13.7",
+    "loguru>=0.7.3",
+    "rich>=14.3.4",
 
     # Configuration
-    "pyyaml>=6.0",
+    "pyyaml>=6.0.3",
 ]
 
 [project.optional-dependencies]
 api = [
-    "litestar>=2.5",
-    "msgspec>=0.18",
-    "uvicorn[standard]>=0.27",
-    "google-cloud-aiplatform>=1.40",
-    "google-cloud-storage>=2.14",
-    "loguru>=0.7",
-    "pyyaml>=6.0",
+    "litestar>=2.21.1",
+    "msgspec>=0.21.0",
+    "uvicorn[standard]>=0.44.0",
+    "google-cloud-aiplatform>=1.147.0",
+    "google-cloud-storage>=3.10.1",
+    "loguru>=0.7.3",
+    "pyyaml>=6.0.3",
 ]
 data = [
-    "dbt-core>=1.11",
-    "dbt-bigquery>=1.11",
-    "google-cloud-bigquery>=3.17",
-    "pandas-gbq>=0.23",
-    "db-dtypes>=1.2",
-    "pandas>=2.2",
-    "numpy>=1.26",
-    "loguru>=0.7",
-    "pyyaml>=6.0",
+    "dbt-core>=1.11.8",
+    "dbt-bigquery>=1.11.1",
+    "google-cloud-bigquery>=3.41.0",
+    "pandas-gbq>=0.35.0",
+    "db-dtypes>=1.5.1",
+    "pandas>=3.0.2",
+    "numpy>=2.4.4",
+    "loguru>=0.7.3",
+    "pyyaml>=6.0.3",
 ]
 ml = [
-    "catboost>=1.2",
-    "scikit-learn>=1.4",
-    "pandas>=2.2",
-    "numpy>=1.26",
-    "mlflow>=2.10",
-    "evidently>=0.4",
-    "google-cloud-aiplatform>=1.40",
-    "google-cloud-bigquery>=3.17",
-    "google-cloud-storage>=2.14",
-    "pandas-gbq>=0.23",
-    "db-dtypes>=1.2",
-    "loguru>=0.7",
-    "pyyaml>=6.0",
-    "msgspec>=0.18",
+    "catboost>=1.2.10",
+    "scikit-learn>=1.8.0",
+    "pandas>=3.0.2",
+    "numpy>=2.4.4",
+    "mlflow>=3.11.1",
+    "evidently>=0.7.21",
+    "google-cloud-aiplatform>=1.147.0",
+    "google-cloud-bigquery>=3.41.0",
+    "google-cloud-storage>=3.10.1",
+    "pandas-gbq>=0.35.0",
+    "db-dtypes>=1.5.1",
+    "loguru>=0.7.3",
+    "pyyaml>=6.0.3",
+    "msgspec>=0.21.0",
 ]
 dev = [
     # Local experiment tracking
-    "skimpy>=0.0.14",
-    "jupyter>=1.0",
-    "ipykernel>=6.29",
+    "skimpy>=0.0.20",
+    "jupyter>=1.1.1",
+    "ipykernel>=7.2.0",
 
     # Testing
-    "pytest>=8.0",
-    "pytest-cov>=4.1",
-    "pytest-asyncio>=0.23",
-    "httpx>=0.26",
+    "pytest>=9.0.3",
+    "pytest-cov>=7.1.0",
+    "pytest-asyncio>=1.3.0",
+    "httpx>=0.28.1",
 
     # Code Quality
-    "ruff>=0.14",
-    "mypy>=1.19",
-    "radon>=6.0",
-    "bandit>=1.7",
+    "ruff>=0.15.10",
+    "mypy>=1.20.0",
+    "radon>=6.0.1",
+    "bandit>=1.9.4",
 
     # Type stubs
     "pandas-stubs",
     "types-requests",
 
     # Configuration
-    "python-dotenv>=1.0",
+    "python-dotenv>=1.2.2",
 ]