zenml-io
diff --git a/‎oncoclear/.assets/cloud_mcp_predictions.png:Zone.Identifier‎ b/‎oncoclear/.assets/cloud_mcp_predictions.png:Zone.Identifier‎
diff --git a/‎oncoclear/.assets/cloud_mcp_screenshot.png:Zone.Identifier‎ b/‎oncoclear/.assets/cloud_mcp_screenshot.png:Zone.Identifier‎
diff --git a/‎oncoclear/.assets/feature_engineering_pipeline.png:Zone.Identifier‎ b/‎oncoclear/.assets/feature_engineering_pipeline.png:Zone.Identifier‎
diff --git a/‎oncoclear/.assets/inference_pipeline.png:Zone.Identifier‎ b/‎oncoclear/.assets/inference_pipeline.png:Zone.Identifier‎
diff --git a/‎oncoclear/.assets/pipeline_overview.png:Zone.Identifier‎ b/‎oncoclear/.assets/pipeline_overview.png:Zone.Identifier‎
diff --git a/‎oncoclear/.assets/training_pipeline.png:Zone.Identifier‎ b/‎oncoclear/.assets/training_pipeline.png:Zone.Identifier‎
diff --git a/‎oncoclear/README.md‎
Lines changed: 5 additions & 1 deletion b/‎oncoclear/README.md‎
Lines changed: 5 additions & 1 deletion
@@ -6,7 +6,11 @@ A production-ready MLOps pipeline for accurate breast cancer classification usin
 
 OncoClear is an end-to-end MLOps solution that transforms raw diagnostic measurements into reliable cancer classification predictions. Built with ZenML's robust framework, it delivers enterprise-grade machine learning pipelines that can be deployed in both development and production environments.
 
-![OncoClear Pipeline Overview](.assets/pipeline_overview.png)
+<div align="center">
+  <br/>
+    <img alt="OncoClear Pipelines" src=".assets/pipeline_overview.png" width="40%">
+  <br/>
+</div>
 
 ### Key Features