Virtual Try- on Component - Copy this Html, Bootstrap Component to your project

Create a Virtual Try On Plugin for WooCommerce using the following information below note the plugin owner is "Esitime Ekaette". Frontend Features: 1. Upload Photo or Use Camera (Face Detection): Allow customers to upload a photo or use their camera to capture a live image, specifically detecting and capturing only the face. Ensure the plugin supports various image formats and camera resolutions, with built in face detection to ensure only facial images are used for the try on. 2. Shade Selection: Integrate with WooCommerce to pull in available makeup shades (lipstick, eyeshadow, foundation, etc.). Provide a real time preview of how the selected shade will look on the detected face. Allow customers to switch between shades and products easily. 3. User Interface: Create a user friendly interface with drag and drop functionality for precise application on the face. Include zoom and rotation features for better accuracy. Offer options to save, share, or directly purchase the products tested. Backend Features: 1. Analytics Dashboard: Track and store data on how many times the virtual try on feature has been used. Include filters to view usage by product, date range, or customer demographics. Display data in visual formats (graphs, charts) for easy interpretation. 2. Product Management: Sync with the WooCommerce product catalog to manage and update available shades. Allow admins to add, edit, or remove shades and products as needed. Enable configuration of different try on settings (e.g., default shade, camera resolution). 3. Reporting: Generate reports on try on usage, including most tried on products and customer engagement metrics. Export data to CSV or Excel for further analysis. 4. Customization: Provide options to customize the virtual try on interface, including color schemes, fonts, and layout. Integrate with other plugins or themes to ensure a seamless experience. ### Implementation Tips: Image Processing & Face Detection: Utilize libraries like OpenCV or integrate with AI based APIs that offer real time face detection and shade application. Performance Optimization: Ensure that the plugin is optimized for speed, especially when handling large images or real time camera feeds. Security: Implement security measures to protect user data, especially when handling photos and personal information. This prompt outlines a Virtual Try On plugin that leverages face detection to ensure that only facial images are used for testing makeup shades, providing a precise and engaging user experience while also offering robust backend analytics.