🚀 Real-Time Smile Detector Using Python & OpenCV 😃

Introduction

Hey everyone! I just built a real-time smile detector using Python and OpenCV 🎉. This project detects faces and identifies smiles in a live video feed from a webcam. It's simple, lightweight, and a great way to experiment with computer vision!

How It Works

The smile detector uses Haar cascade classifiers, a popular feature-based object detection method in OpenCV. The script:
✅ Captures video from a webcam 📷
✅ Detects faces using the Haar cascade face detector 👤
✅ Detects smiles within the detected face region 😄
✅ Draws rectangles around smiles in real time

Technologies Used

🔹 Python 3.x 🐍
🔹 OpenCV (cv2) 👀
🔹 Haar Cascade Classifier 📊

Installation & Usage

Want to try it out? Follow these simple steps:

1️⃣ Clone the repo:

git clone https://github.com/Sripadh-Sujith/Realtime_smile_detector.git
cd Realtime_smile_detector

Applications

🚀 Fun AI applications
😃 Emotion analysis
🤖 Human-computer interaction
🎭 Sentiment detection in live streams

What’s Next?

I plan to improve this project by:

Implementing deep learning-based smile detection using CNNs 🧠

Adding emotion classification for better accuracy 🎭

Optimizing performance for real-time applications

Check Out the Code 💻

Github:-https://github.com/Sripadh-Sujith/Realtime_smile_detector

If you liked this project, give it a ⭐ on GitHub and let me know your thoughts in the comments! 😊