Emotion Recognition

  • View Source
    •  

  • 📖 Overview

    🔹 A real-time facial expression and emotion recognition system powered by Convolutional Neural Networks (CNN) and TensorFlow. Trained on the comprehensive FER2013 dataset, this model can identify multiple human emotions—including happiness, sadness, anger, surprise, and neutrality—with high accuracy. The project includes a webcam interface for live emotion tracking, demonstrating the power of deep learning in human-computer interaction.
     

    💻 Tech stack & More

    ✅ Python / TensorFlow / Keras
    ✅ CNN (Convolutional Neural Networks)
    ✅ FER2013 Dataset Integration
    ✅ Real-time Webcam Processing
    ✅ Face Detection (Haar Cascades)
    ✅ Data Augmentation & Preprocessing