A comprehensive web platform for the PeraMorphIQ Neuromorphic Research Group at the University of Peradeniya. This website showcases cutting-edge research in brain-inspired computing, neuromorphic hardware design, and spiking neural network architectures. The platform features dynamic content management, responsive design, and seamless integration with GitHub repositories to display research projects, publications, team members, and latest news in the field of neuromorphic computing.
- Dynamic Content Management: Automated loading of research projects, publications, news, and team information
- GitHub Integration: Real-time fetching of neuromorphic research repositories with smart filtering
- Responsive Design: Mobile-first approach ensuring optimal viewing across all devices
- Interactive Elements: Smooth animations, hover effects, and reveal-on-scroll animations
- ES6 Modules: Modern JavaScript architecture with modular code organization
- API Integration: GitHub API for repository data and University API for team member information
- Image Optimization: Smart loading with fallback systems and lazy loading implementation
- Contact System: Professional contact form with Formspree integration
- Neuromorphic Branding: Custom typography using Orbitron font for tech aesthetics
- Glassmorphism Effects: Modern UI with backdrop blur and transparency effects
- Gradient Animations: Dynamic color schemes reflecting neural network themes
- Professional Layout: Academic-style presentation suitable for research institutions
- Research & Planning: Analyzed requirements for academic research group websites
- Design System: Created consistent visual language reflecting neuromorphic computing themes
- Modular Architecture: Implemented ES6 modules for scalable and maintainable code
- API Integration: Developed robust systems for external data fetching and error handling
- Responsive Implementation: Mobile-first design with progressive enhancement
- Frontend: HTML5, CSS3, Vanilla JavaScript (ES6+)
- Styling: Custom CSS with Flexbox/Grid layouts and CSS custom properties
- APIs: GitHub REST API, University staff directory API
- Deployment: Vercel hosting with continuous deployment
- Version Control: Git with GitHub for collaborative development
- JSON Data Storage: Structured data files for news, publications, and project information
- Dynamic Loading: Asynchronous content fetching with error handling and loading states
- Image Management: Automated image loading from GitHub repositories with intelligent fallbacks
- Page Load Speed: Optimized for fast loading with lazy loading and efficient resource management
- Mobile Responsiveness: 100% mobile compatibility across devices and screen sizes
- Accessibility: WCAG 2.1 compliant with proper semantic HTML and ARIA labels
- SEO Optimization: Structured data and meta tags for search engine visibility
- Navigation: Intuitive sticky navigation with smooth scrolling and section highlighting
- Content Discovery: Easy access to research projects, publications, and team information
- Interactive Elements: Engaging animations and hover effects enhancing user engagement
- Cross-browser Compatibility: Tested across Chrome, Firefox, Safari, and Edge browsers
- Project Showcase: Comprehensive display of neuromorphic computing research projects
- Publication Management: Organized presentation of academic papers and research outputs
- Team Collaboration: Professional profiles and contact information for research networking
- News & Updates: Regular communication of research progress and achievements
- Advanced Search: Implement full-text search across projects, publications, and news content
- Interactive Demos: Add live demonstrations of neuromorphic computing algorithms and simulations
- Research Analytics: Dashboard showing research metrics, citation counts, and impact factors
- Collaboration Tools: Integration with academic networking platforms and research databases
- Progressive Web App: Add PWA features for offline access and mobile app-like experience
- Content Management System: Develop admin panel for easy content updates without code changes
- Multi-language Support: Implement internationalization for broader academic audience
- Advanced Analytics: Integration with research-specific analytics tools and metrics
- Live Data Visualization: Real-time charts and graphs showing research progress and results
- Publication Automation: Automatic updates from academic databases and citation services
- Conference Integration: Calendar integration for research conferences and academic events
- Collaboration Network: Visual mapping of research partnerships and institutional connections
- Edge Computing: Implement CDN and edge caching for global performance optimization
- Image Processing: Advanced image compression and format optimization (WebP, AVIF)
- Code Splitting: Implement dynamic imports for optimal bundle sizing
- Service Workers: Add background sync and caching strategies for improved performance
- Node.js (v14 or higher) for development tools
- Git for version control
- Modern web browser for testing
# Clone the repository
git clone https://github.com/PeraMorphIQ/PeraMorphIQ-Web.git
# Navigate to project directory
cd PeraMorphIQ-Web
# Open in browser or serve with local server
# For development, use Live Server extension in VS Code
# Or use Python: python -m http.server 8000- Update team member information in
data/people.json - Configure API endpoints in
js/neuroAPI.js - Update contact form endpoint in
contactUs.html - Customize branding colors in CSS custom properties
- Fork the repository
- Create feature branch (
git checkout -b feature/AmazingFeature) - Commit changes (
git commit -m 'Add AmazingFeature') - Push to branch (
git push origin feature/AmazingFeature) - Open Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Note: This website represents the official online presence of the PeraMorphIQ Neuromorphic Research Group at the University of Peradeniya, showcasing our commitment to advancing brain-inspired computing technologies and fostering international research collaborations in the field of neuromorphic engineering.