EdTech · Learning
LearnPulse LMS
An AI-powered learning management system serving 50,000+ students with adaptive course recommendations and personalized learning paths.
The Problem
The existing LMS was a static content dump with zero personalization, poor engagement metrics, and dropout rates exceeding 60%.
Our Solution
Adaptive learning paths powered by collaborative filtering ML, gamification elements, real-time progress analytics, and comprehensive instructor dashboards.
Our Role
AI/ML engineering, full-stack development, UX research, content architecture, performance optimization.
Tech Stack
Architecture
Recommendation engine using collaborative filtering with content-based fallback. Real-time progress tracking with WebSocket updates. CDN-distributed video content.
Our Approach
Cold-start strategy: curated paths by subject experts until ML had enough data
User research with 200+ students to design the gamification mechanics
Adaptive bitrate streaming with edge caching for global performance
Drag-and-drop course builder tested with 15 instructors before launch
Key Challenges
Training the recommendation model on sparse initial data while maintaining accuracy
Building a gamification system that motivates without feeling gimmicky
Handling video streaming for 50K+ concurrent learners cost-effectively
Creating an intuitive course builder for instructors with varying technical skills
Results
50,000+
Active learners
+41%
Completion rate
8.7/10
Engagement score
+72
Instructor NPS
LearnPulse went from a content dump to the most engaging education platform in our market. The recommendation engine alone was worth the investment.