Update README.md

README.md

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 ## 🖼️ Model Architecture
 
 ![Model Architecture](FaceGNN.png)
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+## ✅  Performance & Security
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+The proposed FaceGNN model ensures high security and offers a robust method for face recognition in real-world scenarios. By leveraging relational structures through graph-based learning, it effectively handles both intra-class variations and inter-class similarities. The model achieved up to 99% accuracy across a dataset of over 800 individuals, demonstrating its strong generalization and reliability for high-stakes identity verification tasks.
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