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AI

On-Device Private Summarizer

Summarizes private documents without data ever leaving the laptop.

Advanced36h2–3 people17/20 fit
TL;DR

Build On-Device Private Summarizer for lawyers, doctors and anyone with sensitive notes in ~36h with 2–3 people. Stack: Next.js + WebLLM + WebGPU.

Why it wins: The offline moment proves privacy better than any slide.

Build flow

01 · Problem
Sensitive notes can’t be pasted into cloud AI tools, so people summarize by hand.
02 · Solution
Run a small LLM in the browser with WebGPU. Summaries and Q&A happen fully offline.
03 · Build
  1. 1Load a small model with WebLLM
  2. 2Cache model in the browser
  3. 3Chunk + summarize long text
  4. 4Offline indicator + Q&A UI
04 · Demo
Turn Wi-Fi off live → paste a document → summary still appears.

MVP checklist

  • Model download + cache
  • Offline summaries
  • Ask follow-up questions
  • Zero network calls

Tech stack

TechRole
Next.jsFrontend + API routes
WebLLMIn-browser LLM
WebGPUGPU compute in the browser

Reference repos

Open-source projects you can build on. Links checked 2026-10-31.

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