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., π for Happy, π’ for Sad, π 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 β Angry
1 β Disgust
2 β Fear
3 β Happy
4 β Neutral
5 β Sad
6 β Surprise
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