All work
ShippedHackathon

Canopy

AI meeting-to-action engine that turns conversations into traceable commitments, project trees and audio briefings.

Role
Backend and data (formatting, storage, API integrations)
Team
4 people
When
Oct 2026
Origin
Built at GirlHacks 2026
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • TimescaleDB
  • Google Gemini
  • ElevenLabs
  • Azure Speech
  • Next.js
  • TypeScript
Canopy cover

Highlights

  1. 01Extracts decisions, owners and deadlines from meeting transcripts and renders them as an interactive project tree with health indicators
  2. 02Personalized daily audio briefings
  3. 03My part: data formatting and storage, third-party API integrations, and the backend that bridges them

Write-up

Problem

Decisions and commitments made in meetings get lost between the call and the task tracker.

What I built

I built the backend and data layer, formatting and storing the data and integrating the third-party APIs, so transcripts become commitments and a project tree, and briefings are generated from them.

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