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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
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+# 🧠 FaceGNN v1.1
+
+FaceGNN is a graph-based facial recognition system that combines deep learning feature extraction with Graph Neural Networks (GNNs) for robust identity classification. It supports embedding generation via FaceGNN and offers a reliable system.
+
+---
+
+## 📊 Project Overview
+
+This study proposes a novel approach for face recognition by leveraging Graph Neural Networks (GNNs) to classify face embeddings extracted from face images. The methodology comprises three main phases: 
+- (1) dataset preparation and embedding generation.
+- (2) graph construction using k-Nearest Neighbors (k-NN).
+- (3) training and evaluation of a GNN-based classifier.
+
+---
+
+## 🖼️ Model Architecture