💡 Proposal: Intelligent Learning Path Recommendation Engine
Hi @sayeeg-11! 👋
I would like to propose and build a new feature for ECWoC 2025.
Feature Overview:
Implement a smart recommendation system that analyzes user profile and suggests personalized learning paths through your Git/GitHub content.
Why This Matters:
- Users feel overwhelmed with too many learning options
- Personalized learning increases completion rates by 40%
- Positions OpenSource-Compass as AI-powered learning platform
- Improves user engagement and retention
What I'll Build:
1. User Profile Assessment
- Quick quiz (5-7 questions) about:
- Git/GitHub experience level
- Available learning time per week
- Preferred learning style (visual, hands-on, reading)
- Specific interests (web dev, data science, etc.)
2. Recommendation Algorithm
// Pseudo-code
function recommendPath(userProfile) {
const matchingContent = filterByLevel(userProfile.level);
const timeOptimized = filterByTime(matchingContent, userProfile.weeklyTime);
return rankByInterests(timeOptimized, userProfile.interests);
}
💡 Proposal: Intelligent Learning Path Recommendation Engine
Hi @sayeeg-11! 👋
I would like to propose and build a new feature for ECWoC 2025.
Feature Overview:
Implement a smart recommendation system that analyzes user profile and suggests personalized learning paths through your Git/GitHub content.
Why This Matters:
What I'll Build:
1. User Profile Assessment
2. Recommendation Algorithm