University lectures are long, dense, and fast-paced. Like many students, I used to record them thinking I’d revisit them later — but that never really worked. Even transcripts felt like raw logs.

So I built [Notorium](https://www.notorium.app) — an AI assistant that records live lectures and automatically turns them into structured notes, flowcharts, and mind maps— within minutes after class.

What it does: - Record lectures inside the app (in-person, live) - Transcribe using Whisper - Send the full transcript to LLM - Use a custom system prompt to: - Summarize the lecture - Break it into topics - Generate visual aids: flowcharts and mind maps

Extras: - Download notes as clean PDFs - Tap Simplify to make notes more digestible - Tap Expand to deepen explanations - Tag notes by subject (e.g., Physics, CS) for filtering and fast retrieval

Built for - In-person learners - Visual learners (flowcharts, concept trees, diagrams) - Students who want control — skim when you're tired, expand when you're focused

Coming soon: A spaced-repetition-based flashcard mode — so you can actively review and retain the key points from your lectures.

Tech Stack: - Transcription: Whisper - LLM: Open source model via Groq - Frontend: Next.js + Tailwind + shadcn/ui - Backend: Firebase

Why Groq?: Speed and consistency. Fast enough to generate full notes right after class ends.

Would love your feedback: - What other visual formats or study modes would help?

Thanks! – Pranav