Facial Emotion Recognition

This project detects human emotions in real-time using a webcam feed. It uses a Convolutional Neural Network (CNN) model trained on the FER-2013 dataset and OpenCV for face detection and live video processing.

Features

• Real-time face detection
• Emotion recognition: Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise
• Webcam-based input
• Simple and easy-to-run Python script

Requirements

• Python 3.x
• TensorFlow / Keras
• OpenCV
• NumPy

Install the required packages using:

pip install -r requirements.txt

How to Run

1. Clone the repository.
2. Make sure the files facial_emotion_detector.json and facial_emotion_detector.h5 are in the project folder.
3. Run the script:

python real_time_detection.py

Files

• facial_emotion_detector.json – Model architecture

• facial_emotion_detector.h5 – Trained weights

• real_time_detection.py – Main script for real-time detection

• requirements.txt – Python dependencies