SNAP SYNC is a powerful image-finding platform designed specifically for photographers and event organizers. It enables users to quickly and easily retrieve their images from a large photo collection using advanced image-matching technology. This project is perfect for managing event photos and allowing users to find and download their images in real-time.
- Image Matching: Users can upload a reference image to find matching photos from a collection.
- Photographer/Event Handler Interface: Easily upload and manage large batches of photos.
- Real-Time Matching: Instant image retrieval for users.
- Secure Storage: Photos are stored securely using Firebase and MongoDB.
- Responsive Design: Optimized for different screen sizes with a modern, mobile-first interface.
- React.js: JavaScript library for building the user interface.
- TailwindCSS: Utility-first CSS framework for styling.
- Node.js: JavaScript runtime for server-side logic.
- Express.js: Web framework for handling API requests and routing.
- MongoDB: NoSQL database to store user details and image metadata.
- Firebase: Cloud storage for managing and serving images securely.
- Python: Used for image processing and matching algorithms (e.g., OpenCV, TensorFlow, or custom models).