diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a63af02..2c6c2b9 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -1,4 +1,4 @@
-name: CI
+name: Build
 
 on:
   push:
diff --git a/README.md b/README.md
index 0a45441..3d60501 100644
--- a/README.md
+++ b/README.md
@@ -1,20 +1,23 @@
-# UniFace: All-in-One Face Analysis Library
+<h1 align="center">UniFace: All-in-One Face Analysis Library</h1>
 
 <div align="center">
 
-[![PyPI](https://img.shields.io/pypi/v/uniface.svg?label=PyPI)](https://pypi.org/project/uniface/)
-[![Python](https://img.shields.io/badge/Python-3.10%2B-blue)](https://www.python.org/)
+[![PyPI Version](https://img.shields.io/pypi/v/uniface.svg?label=Version)](https://pypi.org/project/uniface/)
+[![Python Version](https://img.shields.io/badge/Python-3.10%2B-blue)](https://www.python.org/)
 [![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![CI](https://github.com/yakhyo/uniface/actions/workflows/ci.yml/badge.svg)](https://github.com/yakhyo/uniface/actions)
+[![Github Build Status](https://github.com/yakhyo/uniface/actions/workflows/ci.yml/badge.svg)](https://github.com/yakhyo/uniface/actions)
 [![PyPI Downloads](https://static.pepy.tech/personalized-badge/uniface?period=total&units=INTERNATIONAL_SYSTEM&left_color=GRAY&right_color=BLUE&left_text=Downloads)](https://pepy.tech/projects/uniface)
-[![Docs](https://img.shields.io/badge/Docs-UniFace-blue.svg)](https://yakhyo.github.io/uniface/)
+[![UniFace Documentation](https://img.shields.io/badge/Docs-UniFace-blue.svg)](https://yakhyo.github.io/uniface/)
+[![Kaggle Badge](https://img.shields.io/badge/Notebooks-Kaggle?label=Kaggle&color=blue)](https://www.kaggle.com/yakhyokhuja/code)
 
 </div>
 
 <div align="center">
-    <img src=".github/logos/logo_web.webp" width=80%>
+    <img src="https://raw.githubusercontent.com/yakhyo/uniface/main/.github/logos/logo_web.webp" width="80%">
 </div>
 
+##
+
 **UniFace** is a lightweight, production-ready face analysis library built on ONNX Runtime. It provides high-performance face detection, recognition, landmark detection, face parsing, gaze estimation, and attribute analysis with hardware acceleration support across platforms.
 
 > 💬 **Have questions?** [Chat with this codebase on DeepWiki](https://deepwiki.com/yakhyo/uniface) - AI-powered docs that let you ask anything about UniFace.