📷 Smart Face, Eye & Smile Detector

Welcome to the Smart Face, Eye & Smile Detector! 🎉
This is a real-time web application that detects face, eyes, and smile using your webcam. Built with Streamlit, OpenCV, and WebRTC, it’s fast, interactive, and fun! 😄

🚀 Features

• 🧑‍🤝‍🧑 Face Detection: Detect faces in real-time.
  
• 👀 Eye Detection: Recognizes eyes within detected faces.
  
• 😁 Smile Detection: Detects smiles and shows a message.
  
• 🎥 Live Webcam Feed: Stream your camera directly in the browser.
  
• ✨ Interactive UI: Easy to use with start/stop controls.
  

🛠️ Installation

1. Clone the repository

git clone https://github.com/yourusername/smart-face-detector.git
cd smart-face-detector

1. Create a virtual environment (optional but recommended)

python -m venv venv
source venv/bin/activate   # Linux / Mac
venv\Scripts\activate      # Windows

1. Install dependencies

pip install -r requirements.txt

🚀 Run the App

streamlit run app.py

• Press Start to begin live detection.
• Press Stop to end the webcam feed. Streamlit handles cleanup automatically.

📦 Dependencies

• streamlit 🌐
• opencv-python-headless 🖼️
• streamlit-webrtc 📹
• av 🔄
• numpy 🔢

📝 Notes

• Make sure your browser has webcam access enabled.
• Works best with good lighting conditions.
• Tested on Python 3.10+.

⭐ Support

If you found this repository helpful, don’t forget to star ⭐ the repo. Your support motivates me to learn and share more! 💡

⚡ License

This project is MIT Licensed.

Built With

• python