Update README.md

README.md

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----
-license: mit
----
+---
+language: en
+license: mit
+tags:
+  - keras
+  - cnn
+  - facial-expression
+  - emoji
+  - image-classification
+  - emotion-detection
+model-index:
+  - name: Emoji Generator from Facial Expression
+    results:
+      - task:
+          type: image-classification
+          name: Facial Emotion Classification
+        dataset:
+          name: FER-2013
+          type: fer2013
+        metrics:
+          - name: Accuracy
+            type: accuracy
+            value: 0.83
+---
+
+# Emoji Generator from Facial Expressions using CNN
+
+This project uses a Convolutional Neural Network (CNN) to recognize human facial expressions from grayscale images and maps the detected emotion to a representative emoji (e.g., 😀 for Happy, 😢 for Sad, 😠 for Angry).
+
+## Model Info
+
+- **Framework**: TensorFlow / Keras
+- **Input**: 48x48 grayscale facial image
+- **Output**: Predicted emotion label mapped to an emoji
+- **Model Format**: `.keras`
+- **Dataset**: [FER-2013](https://www.kaggle.com/datasets/msambare/fer2013)
+
+## Emotion to Emoji Mapping
+
+```text
+0 → Angry 
+1 → Disgust  
+2 → Fear 
+3 → Happy  
+4 → Neutral 
+5 → Sad  
+6 → Surprise
+