# shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification

<https://repo.masters-masters.com/en/repos/shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification>

[Home](https://repo.masters-masters.com/en) › [shahidazam2020-oss](https://repo.masters-masters.com/en/owners/shahidazam2020-oss) › [Deep-Learning-Model-for-Facial-Emotion-Classification](https://repo.masters-masters.com/en/repos/shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification)

shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification has 135 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [shahidazam2020-oss](https://repo.masters-masters.com/en/owners/shahidazam2020-oss) |
| Stars | 135 |
| Forks | 2 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2026 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification](https://github.com/shahidazam2020-oss/Deep-Learning-Model-for-Facial-Emotion-Classification) |

## Repository

A deep learning facial emotion classification system using CNN, VGG16, and ResNet50V2. The project includes image preprocessing, augmentation, class balancing, transfer learning, model evaluation, confusion matrix, ROC analysis, and an interactive Gradio interface for emotion prediction.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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