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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# AuthentiVision 🔍
+
+<div align="center">
+
+<img src="assets/img_1.jpg" alt="Logo" width="300"/>
+
+
+**State-of-the-art Face Authentication for Detecting AI-Generated Images**
+
+[Huggingface](https://medium.com/@haijian06/authentivision-detecting-ai-generated-faces) | [Data](https://huggingface.co/datasets/haijian06/face-auth-dataset) | [Demo](https://huggingface.co/spaces/haijian06/AuthentiVision) | [Technical Paper](https://arxiv.org/abs/xxx)
+
+</div>
+</div>
+
+## 🎯 Real vs. AI-Generated Face Comparison
+
+<div align="center">
+<table>
+<tr>
+<td><b>Real Face</b></td>
+<td><b>AI-Generated Face</b></td>
+</tr>
+<tr>
+<td>
+<img src="assets/real_face_example.jpg" alt="Real Face" width="200"/>
+</td>
+<td>
+<img src="assets/ai_face.jpg" alt="AI-Generated Face" width="200"/>
+</td>
+</tr>
+<tr>
+<td>
+<img src="assets/real_face_example.jpg" alt="Real Face" width="200"/>
+</td>
+<td>
+<img src="assets/ai_face_2.jpg" alt="AI-Generated Face" width="200"/>
+</td>
+</tr>
+</table>
+</div>
+## 🌟 Features
+
+- High accuracy in distinguishing real faces from AI-generated ones
+- Multiple feature extraction techniques for robust detection
+- Easy-to-use API for quick integration
+- Lightweight and efficient inference
+- Comprehensive documentation and examples
+
+## 🚀 Quick Start
+
+```bash
+git clone https://github.com/haijian06/AuthentiVision
+cd AuthentiVision
+pip install -e .
+```
+
+```python
+from authentivision import AuthentiVision
+
+# Initialize detector
+detector = AuthentiVision()
+
+# Make prediction
+label, confidence = detector.predict("path_to_image.jpg")
+print(f"Prediction: {label} (Confidence: {confidence:.2f})")
+```
+
+
+## 📚 Documentation
+
+For detailed documentation, please visit our [tech blog](https://timelabhub.github.io/).
+
+## 🎯 Use Cases(Coming soon)
+
+- Identity verification systems
+- Social media content moderation
+- Digital forensics
+- Security applications
+## 📄 License
+
+This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
+## 🌟 Acknowledgments
+
+- Thanks to all contributors and researchers in the field
+- Special thanks to the open-source community
+
+## 📝 Citation
+
+If you use AuthentiVision in your research or project, please cite our technical blog:
+
+```bibtex
+@online{authentivision2024,
+    title={AuthentiVision: Finding Yourself in the Real World},
+    author={Haijian Wang and Zhangbei Ding and Yefan Niu and Xiaoming Zhang},
+    year={2024},
+    url={https://timelabhub.github.io/},
+    note={Medium blog post}
+}