Real-Time Emotion Detection using CNN by Samrat GhoruiReal-Time Emotion Detection using CNN by Samrat Ghorui

Real-Time Emotion Detection using CNN

Portfolio project
Samrat Ghorui

😊 Real-Time Emotion Detection using CNN

This project detects human emotions (like Happy, Sad, Angry, etc.) in real-time using your webcam, powered by Convolutional Neural Networks (CNN) and OpenCV.

📁 Project Structure

real-time-emotion-detection/
│
├── emotion_detector.py         # Main Python script to run the model
├── emotion_model.h5            # Trained CNN model file
├── haarcascade_frontalface.xml # Haar Cascade for face detection
├── README.md                   # Project documentation

🧠 Emotion Classes Detected

Angry
Disgust
Fear
Happy
Sad
Surprise
Neutral

📦 Step-by-Step Setup Instructions

✅ 1. Prerequisites

Python 3.7 or higher
Webcam (built-in or external)

📁 2. Clone the Repository

git clone https://github.com/samrat0033/Emotion_Detection.git
cd Emotion-Detection

🧪 3. Create a Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate       # On Windows: venv\Scripts\activate

📚 4. Install Required Libraries

pip install keras tensorflow numpy opencv-python

🎯 5. Run the Application

Make sure the files emotion_model.h5 and haarcascade_frontalface.xml are in the same directory as your Python script.
python emotion_detector.py
This will activate your webcam and start detecting emotions in real time.

🧠 Libraries Used

Keras – For loading the pre-trained CNN model
TensorFlow – Backend for Keras
OpenCV – For webcam access and face detection
NumPy – For image array manipulation

⚙️ How It Works

The webcam feed is captured using cv2.VideoCapture().
Faces are detected in each frame using Haar Cascades.
The face region is preprocessed and passed through a CNN model.
The model outputs an emotion class which is displayed on the screen.

🖼️ Sample Output

Emotion label is overlaid on the detected face in real-time video feed.

📞 Contact

For questions, suggestions, or collaboration:

0 likes · 5 views · May 29, 2025

Developed a real-time emotion detection system using CNN and OpenCV.

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