Wearable AI Tracker is an interactive Electron application designed to track, analyze, and visualize the latest developments in wearable AI technology. The application features automated web scraping to discover new wearable AI products, comprehensive data visualization, and a notification system to keep users informed about the latest trends and releases.
- Tracks wearable AI products with details on body placement, sensory inputs, features, pricing models, and "always-on" capabilities
- Categorizes products by type, body placement, and functionality
- Stores historical data for trend analysis
- Multiple visualization types (charts, graphs, radar plots)
- Organized by categories:
- Market trends
- Technology comparison
- Features analysis
- Pricing models
- Adoption rates
- Regional analysis
- Search for new wearable AI products
- Automatically scrape websites to discover emerging technologies
- Add new products to the database from search results
- Scheduled background scraping of popular tech websites
- Continuous updates to the database with the latest wearable AI developments
- Configurable scraping intervals
- Alerts when new products are discovered
- Customizable notification preferences
- Desktop notifications for important updates
- Modern, tech-forward interface
- Glassmorphism effects
- Interactive elements with animations
- Dark mode support
- Electron - Cross-platform desktop application framework
- React - UI library
- TailwindCSS - Styling
- Recharts - Data visualization
- Framer Motion - Animations
- Axios & Cheerio - Web scraping
- WebScraperService: Handles automated discovery of new wearable AI products
- NotificationCenter: Manages alerts about new discoveries
- DataVisualization: Provides interactive charts and graphs
- Search: Enables finding products in the database and on the web
- Node.js (v14 or higher)
- npm or yarn
- Clone the repository
- Install dependencies:
npm install - Start the application:
npm start
To build the application for distribution:
# For all platforms
npm run build
# For specific platforms
npm run build:win
npm run build:mac
npm run build:linux
The dashboard provides an overview of the wearable AI market, including:
- Latest discoveries
- Market trends
- Product categories
- Technology adoption rates
Browse and filter the database of wearable AI products by:
- Body placement (head, wrist, finger, etc.)
- Sensory inputs (visual, audio, touch, etc.)
- Features and capabilities
- Pricing models
- "Always-on" monitoring capabilities
Search for wearable AI products:
- Search the local database
- Search the web for new products
- Add new discoveries to the database
Configure and monitor the automated web scraping:
- Set scraping intervals
- Add custom websites to monitor
- View scraping logs and statistics
Customize the application:
- Configure notification preferences
- Set dark/light mode
- Manage database backups
- Configure automated scraping settings
MIT