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
Emotion to Emoji Mapping
0 → Angry
1 → Disgust
2 → Fear
3 → Happy
4 → Neutral
5 → Sad
6 → Surprise
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