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Academic project
Facial Expression Recognition
Computer Vision Academic Project
PythonTensorFlow/KerasCNNImage preprocessingData augmentationModel evaluation
Technical approach
- Class-structured image data
- Preprocessing
- Data augmentation concepts
- Train/validation separation
- CNN training
- Multi-class evaluation
Responsible-AI note
Facial-expression classification cannot reliably determine a person's internal emotional state. The project should be presented as an image-classification exercise rather than a definitive emotion-reading system.
Visuals and artefacts
Visual placeholder
CNN architecture diagram
Asset →
/images/projects/facial-expression-project.pngTechnologies
PythonTensorFlow/KerasCNNImage preprocessingData augmentationModel evaluation