Face Emotion Detector

A real-time face emotion detection web application using TensorFlow and OpenCV.

Features

• 🎥 Real-time emotion detection via webcam
• 📁 Image upload and emotion analysis
• 😊 Detects 7 emotions: angry, disgust, fear, happy, sad, surprise, neutral
• 🎯 Multiple face detection

Setup

1. Clone the repository:

git clone https://github.com/Shoaib552/face-emotion-detector.git
cd face-emotion-detector


Set up backend:

bash
cd backend
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
python download_model.py
python app.py
Set up frontend:

bash
cd ../frontend
python -m http.server 8000
Open http://localhost:8000 in your browser.

Technologies Used
Backend: Flask, TensorFlow, OpenCV

Frontend: HTML5, CSS3, JavaScript

Computer Vision: Haar Cascades, CNN


face-emotion-detector/
├── backend/
│   ├── app.py
│   ├── utils.py
│   ├── requirements.txt
│   ├── download_model.py
│   ├── emotion_model.h5          
│   └── haarcascade_frontalface_default.xml
├── frontend/
│   ├── index.html
│   ├── style.css
│   └── script.js
└── README.md