[HN Gopher] Show HN: I made an AI that turn live lecture into st...
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       Show HN: I made an AI that turn live lecture into structured
       notes,mind-maps,PDF
        
       Hi HN, 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
        
       Author : pranav_harshan
       Score  : 12 points
       Date   : 2025-06-02 14:41 UTC (8 hours ago)
        
 (HTM) web link (www.notorium.app)
 (TXT) w3m dump (www.notorium.app)
        
       | seany62 wrote:
       | Great idea! Will it highlight parts where the professor says
       | something like "this is important and will be on the exam...".
       | All of the information on the exam (which dictates the majority
       | of your score in the class at most US universities) must be
       | conveyed to the student one way or the other (worksheets,
       | lectures. etc.). A cool runoff would be an "AI Exam Prep" which
       | guessed what would be on the exam, based on previous exams and
       | where the info came from
        
         | pranav_harshan wrote:
         | Great point! Right now it doesn't flag "this will be on the
         | exam" moments, but I've been thinking about it. Since we have
         | the full transcript, detecting key phrases like that is
         | definitely possible.
         | 
         | Flashcards are on the way too -- and tying them to "likely exam
         | content" would be super useful. Appreciate the idea!
        
           | dansoto wrote:
           | To take this further, allowing the user to define hot items
           | or subjects might be better. For example, history tests often
           | ask questions about when or where an event happened. Imagine
           | if we could request that we want a list of dates and
           | associated events.
        
       | sfc32 wrote:
       | Is it possible to see an example without signing up?
        
       | dansoto wrote:
       | This looks nifty. There is some confusion regarding the "Pro"
       | plan.
       | 
       | * 20 hours of recording time
       | 
       | Is that 20 total hours for the month or one transcribing session?
        
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       (page generated 2025-06-02 23:01 UTC)