A desktop application that detects human emotions from facial images using a trained deep learning model. It supports image uploads and displays both the predicted emotion and confidence score in a polished, modern interface
- 📷 Upload facial images (JPG, PNG)
- 🤖 Real-time emotion prediction using a CNN model
- 🎯 Confidence score displayed alongside prediction
- 💡 Supports 7 emotions:
Angry,Disgust,Fear,Happy,Neutral,Sad,Surprise - 🖥️ Professional UI with dark theme for clean presentation
The app uses a model (emotion_recognition_model.h5) trained on FER-2013 dataset. It processes images in grayscale and outputs a probability distribution across 7 emotion classes.
