😄 Emotion Recognition Using Deep Learning 🧠

Identify emotions from facial expressions using a Convolutional Neural Network (CNN)

---

📌 Overview

This project implements an emotion recognition system using deep learning techniques to classify facial expressions into various emotions such as happy, sad, angry, fear, surprise, etc.

It uses a Convolutional Neural Network (CNN) trained on a dataset of facial expression images to learn spatial features and accurately predict emotions.

---

😃 Recognized Emotions

The model is trained to classify the following emotions:

• 😃 Happy
• 😢 Sad
• 😠 Angry
• 😱 Fear
• 😲 Surprise
• 😐 Neutral
• 🤢 Disgust (if included in dataset)

---

🛠️ Tech Stack

• Language: Python
• Libraries: TensorFlow / Keras, NumPy, OpenCV, Matplotlib
• Model: Convolutional Neural Network (CNN)
• Dataset: FER-2013 / Custom Dataset with facial expressions
• Notebook: Jupyter Notebook