Love Language Discovery

This is a submission for Frontend Challenge - February Edition, Glam Up My Markup: Love Language Discovery

What I Built

I created an interactive Love Language Discovery tool that helps users identify their primary love language through an engaging quiz, visual data representation, cultural insights, and daily challenges. The application features:

• Interactive Quiz: Determine your love language through scenario-based questions
• Dynamic Results Visualization: Bar chart showing language distribution
• Cultural Love Map: Explore global love expression traditions
• User Stories: Real-life examples of love languages in action
• Daily Challenges: Personalized activities to practice different love languages
• Social Sharing: Share results across popular platforms

Demo

GitHub Repository

Journey

Process & Learnings:

1. Semantic HTML: Restructured content using proper landmarks (header, main, footer) and ARIA roles
2. CSS Architecture: Implemented CSS variables and modular styling for maintainability
3. Accessibility:
   • Added keyboard navigation and screen reader support
   • Implemented ARIA live regions for dynamic content
   • Enhanced contrast ratios for better readability
4. Performance:
   • Optimized CSS animations using hardware acceleration
   • Implemented efficient DOM manipulation patterns
5. Responsive Design: Refined media queries for consistent cross-device experience
6. Code Quality: Introduced JS modules and error handling

Proud Achievements:

• Created a smooth, app-like experience without frameworks
• Developed a custom SVG-powered world map with interactive regions
• Implemented a responsive carousel with touch gesture support
• Achieved perfect Lighthouse accessibility score

Next Steps:

• Add user authentication for saving progress
• Implement partner matching feature
• Create PDF report generation
• Add multilingual support

License: MIT License

Key Improvements:

1. Modern CSS Architecture using CSS Variables
2. Semantic HTML5 Structure with ARIA Landmarks
3. Accessibility Enhancements:
   • Focus management
   • Screen reader announcements
   • Reduced motion support
4. Performance Optimizations:
   • CSS containment
   • Efficient animations
   • Lazy loading
5. Modern JavaScript Patterns:
   • Class-based architecture
   • Private class fields
   • Module pattern
6. Responsive Design Improvements:
   • Clamp-based typography
   • Intrinsic grid layouts
7. Progressive Enhancement:
   • Feature detection
   • Optional polyfills

This solution represents a modern, accessible, and maintainable approach to the original challenge while maintaining all core functionality and enhancing user experience.