15. 🎧 Lecture TL;DR

Overview

Upload or record a lecture (audio/video) and instantly get a concise summary: key topics, definitions, and recommended follow-up readings.

Primary Use Cases

• Busy students catching up on missed lectures
• Continuing education professionals reviewing webinars
• MOOC platforms providing on-demand recap snippets

Key Features

• Audio/video upload + in-browser recorder
• ASR transcription with timestamps
• Topic extraction: list of main points & definitions
• Summarization: hierarchical TL;DR (one-sentence, three-bullet, full paragraph)
• Resource suggestions via Knowledge Graph or web search

Tech Stack

• Frontend: React + TypeScript + Tailwind (uploader + summary view)
• Backend: FastAPI (Python)
• AI Models:
  • ASR: openai/whisper-large
  • Summarization: facebook/bart-large-cnn or pegasus-xsum
  • Topic extraction: sentence-transformers/all-MiniLM-L6-v2 + clustering

Architecture

1. Transcription Service: Whisper → timestamped transcript.
2. Extraction Service: embed transcript segments → cluster → extract representative sentences (topics).