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Deep Learning
AI Face Emotion Recognition System
Recognizing human emotions from facial expressions using deep learning models.

Project Overview
A deep learning project to classify various human emotions (e.g., happy, sad, angry) from facial images, with applications in human-computer interaction.
Technologies Used
PythonTensorFlowKerasCNN
Methodology
- 1Collecting and preprocessing emotional facial datasets (e.g., FER-2013).
- 2Designing and training Convolutional Neural Networks (CNNs) for classification.
- 3Fine-tuning models for emotion classification and handling class imbalance.
- 4Real-time emotion inference from video streams using webcam input.
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