RecapAI: Automated Audio Insight Platform

Great ideas happen in the room, but they often die the moment the meeting ends. Manual note-taking is distracting, and traditional voice memos are just black boxes of unsearchable audio. I built RecapAI to bridge the physical-to-digital gap, creating a pipeline that listens, transcribes, and summarizes conversations so teams can focus on talking instead of typing.

Most transcription tools require you to actively manage software while trying to run a meeting. If you use physical microphones, getting that audio into an AI processing engine is usually a clunky, manual transfer process.

The goal was to build a true "set-it-and-forget-it" system where the physical hardware in the room and the AI cloud operate as a single, seamless unit.

I designed RecapAI as an end-to-end ecosystem, ensuring that the data flowed effortlessly from the real world to the web dashboard. The architecture is broken down into three core layers:

The Edge (Hardware): A Raspberry Pi acts as the physical ear in the room. It handles reliable, high-fidelity audio capture and automated, secure uploading to the cloud.

The Brain (Backend & AI): A high-speed FastAPI backend orchestrates the heavy lifting. It pushes the audio through Speech-to-Text models and leverages Large Language Models (LLMs) to filter out the noise and extract the core context, structure, and action items.

The Interface (Web App): A Next.js dashboard where users consume the data. Instead of presenting a massive wall of text, the UI delivers clean, scannable knowledge cards.

I handled the end-to-end system architecture. The core challenge was ensuring a stable, modular data flow from edge hardware to user-facing outputs.

Hardware / IoT: Raspberry Pi

Frontend: Next.js

Backend: FastAPI

Intelligence: Custom LLM integrations

Database: MongoDB

RecapAI demonstrates that capturing knowledge shouldn't add friction to your day. By combining IoT hardware with cloud-based AI, this system successfully turns unstructured physical conversations into a searchable digital archive—ensuring that important information is never lost to distraction.