EdTech
LearnBridge
A social learning platform for Gen Z that uses short video lessons, streaks, and gamification to boost engagement and speed up learning outcomes.
Tech Stack
Project Overview
About LearnBridge
LearnBridge
Tech stack used: Next.js, React, TypeScript, Tailwind CSS, Node.js, PostgreSQL, MongoDB, Redis, AWS, Docker
Project description
LearnBridge blends short video lessons with gamification to boost engagement and completion rates, giving learners personalized learning paths and creators tools to produce high-impact educational content.
Challenges we tackled and how we handled them
Video Content Delivery - Implemented adaptive bitrate streaming, edge caching through CDN, and preloading of next videos for seamless playback across network conditions.
Engagement and Retention - Built a gamification engine featuring streaks, XP, and leaderboards, plus push notifications to motivate consistent usage.
Personalized Learning Paths - Developed recommendation algorithms that use goals, watch history, and engagement signals to adapt content difficulty and order.
Creator Tools and Analytics - Delivered an in-app video editor and a creator dashboard that shows views, completion rates, and learner feedback to help creators iterate on content.
Capabilities
Key Features
Short-form video lessons (< 5 minutes)
Daily streaks and XP system
Leaderboards and achievements
Social following and content sharing
Interactive quizzes and challenges
Personalized learning feed
Creator studio for content production
Progress tracking and certificates
Problem Solving
Challenges We Tackled
Every project presents unique challenges. Here's how we approached and solved the key technical hurdles.
Video Content Delivery
Streaming short videos with minimal buffering across varying network conditions.
Adaptive bitrate streaming with multiple quality levels. Edge caching through CDN ensures low latency playback. Preloading next videos in feed for seamless experience.
Engagement and Retention
Keeping learners coming back daily requires compelling motivation mechanics.
Gamification engine tracks streaks, awards XP, and updates leaderboards in real time. Push notifications remind users of streak risks and celebrate milestones.
Personalized Learning Paths
Each learner has different goals, pace, and preferences that should shape their experience.
Recommendation algorithm considers learning goals, watch history, engagement signals, and quiz performance. Dynamic difficulty adjustment keeps content challenging but achievable.
Creator Tools and Analytics
Content creators need easy tools to produce lessons and understand their impact.
In-app video editor with templates for educational content. Creator dashboard shows views, completion rates, quiz scores, and learner feedback.
Technology
Built With Modern Stack
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