LearnBridge

Bridging the educational gap with AI

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Hackathon Summary

Inspiration

Driven by the belief that quality education should be universally accessible, Learnbridge was inspired by the challenges faced by learners in under-resourced communities. We set out to create a social-good platform that automates course creation and support, lowering barriers to knowledge.

What it does

Learnbridge transforms a simple syllabus or outline into a full-featured online course. Users can generate modules and lessons automatically, enriched with YouTube videos and web-sourced citations. Additionally, a personal chatbot assistant provides contextual help based on the current lesson, enabling interactive, self-paced learning.

How we built it

  • Backend: Flask API with Celery for asynchronous lesson generation tasks
  • Orchestration: Sequential multi-step agent pipeline (LangGraph) to decompose and coordinate content creation
  • Frontend: Next.js with Material UI for a responsive, user-friendly interface
  • Auth & Storage: Firebase Authentication for secure access

Challenges we ran into

  • Timeouts & Memory Limits: Initial monolithic generation caused failures; solved by splitting tasks with Celery
  • Agent Coordination: Designing a reliable orchestration pipeline required extensive prompt engineering and debugging
  • Content Quality: Ensuring relevance and citation accuracy in retrieved web and video resources

Accomplishments that we're proud of

  • Built a fully autonomous course-generation pipeline with reliable background processing
  • Integrated contextual chatbot that retains lesson context and memory for meaningful assistance.
  • Delivered a working prototype within hackathon timeframe

What we learned

  • The importance of task isolation and asynchronous processing for scalability
  • Effective prompt design and chaining techniques for multi-step agent workflows
  • Strategies for integrating external retrieval tools (YouTube, web search) into AI-driven apps

What’s next for Learnbridge

  • UX Enhancements: Add progress indicators, loading states, and improved error handling
  • New Features: Audio/video note creation, “learn mode” with spaced repetition, course analytics
  • Expanded Tooling: Incorporate additional knowledge sources and multi-language support
  • Community Building: Open-source roadmap and invite educators to contribute syllabi templates

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