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A next-generation Learning Management System that uses AI to create adaptive learning paths and features live, interactive classrooms with real-time code collaboration.
EduVerse solves the problem of passive learning by introducing AI-driven adaptive curriculums and live, interactive classrooms where instructors can collaborate on code and whiteboards in real-time.
Traditional LMS platforms are static and boring, leading to course completion rates below 10%. Students lack real-time feedback and personalized attention.
Built an 'Active Learning' platform with AI tutors, adaptive learning paths, and WebRTC-based live classrooms.
We realized video calls weren't enough. We integrated a real-time collaborative code editor (Monaco) directly into the video stream, allowing instructors to 'pair program' with students instantly.
MATCH (u:User {id: $userId})-[:COMPLETED]->(l:Lesson)
MATCH (l)-[:UNLOCKS]->(next:Lesson)
WHERE NOT (u)-[:COMPLETED]->(next)
RETURN next ORDER BY next.difficulty ASC LIMIT 1We used Neo4j graph database to create dynamic learning paths. This query finds the next optimal lesson for a student based on what they've already mastered, rather than a linear list.
Studied active learning methodologies to design the curriculum engine.
Designed the Neo4j schema for adaptive learning paths.
Built the WebRTC and WebSocket infrastructure for live classes.
Trained the OpenAI wrapper to act as a Socratic tutor.
Ran pilot courses with 500 students to refine the adaptive algorithms.
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