In this video, we demonstrate an AI-powered customer service and alert system built using Django and YOLOv3. This system automatically detects customers in real-time using a webcam, captures their selfie, and sends an email alert to the store representative. Perfect for enhancing customer engagement and ensuring timely assistance in retail environments.
🔹 **Technologies Used**:
- YOLOv3 for object detection
- Django for the web framework
- OpenCV for real-time video capture and processing
- Pygame for playing alert sounds
- Email notifications
🔹 **Features**:
- Real-time customer detection
- Automatic selfie capture and save
- Email alert with attached selfie
- Seamless integration with Django models and views
📌 **Code Walkthrough**: We'll go through the entire process, from setting up YOLOv3 to integrating it with Django, handling real-time video feed, and sending email alerts.
💻 **Source Code**: [Link to your repository or blog post]
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