.png&w=256&q=75)
🤝 Top Collaborators
.png&w=640&q=75)
🤓 Latest Submissions
LectureAI
LectureAI helps university and college students turn recorded lecture audio into organized, exam-ready study material — automatically, without writing a single note by hand. A student logs in, selects or creates a subject (like "Programming Fundamentals" or "Calculus"), and uploads a lecture recording. The audio is transcribed using Speechmatics' Melia 1 model, which is purpose-built for multilingual, code-switched speech — meaning it accurately handles lectures spoken in English, Urdu, or a natural mix of both, common in many classrooms. The resulting transcript, always in English, is then processed by four specialized AI agents powered by Claude Sonnet 5: a Summarizer that captures the lecture's main topics and flow, a Key Concepts Extractor that pulls out important terms, definitions, and formulas as a cheat-sheet, a Confusion Highlighter that flags unclear or rushed parts of the lecture with simplified explanations, and a Memory/Continuity Checker that compares the lecture to the student's most recent previous lecture in the same subject, showing exactly how the two connect and clearly displaying that previous lecture's date. Each agent produces its own downloadable PDF, giving students four focused, ready-to-use study documents per lecture. Every student's data is kept private through Google OAuth authentication and Supabase's row-level security, and lectures are organized by subject so the Continuity Checker always compares against the correct prior lecture. Built entirely on native.builder, LectureAI integrates two AI Factory hackathon technology partners: Speechmatics for transcription and AI/ML API (Claude Sonnet 5) for the four content agents — turning a genuinely time-consuming student problem into a fully automated, exam-ready workflow.
10 Aug 2026
