case://study-002
AI / ML
Project 002

EchoScribe

EchoScribe is an autonomous AI agent that listens to meetings, transcribes them in real-time using Whisper, generates structured summaries with GPT-4, and distributes them through Slack integration. Zero manual work.

97%
Accuracy
<3s
Latency
Fully Auto
Pipeline
AI / ML
Category
The Problem

What Wasn't Working

Meeting notes are either forgotten, poorly taken, or require expensive dedicated note-takers. Teams needed an automated solution that captures everything and distributes it instantly.

The Solution

How I Fixed It

Built a pipeline that chains Whisper (speech-to-text) → GPT-4 (intelligent summarization) → Slack API (distribution). LangChain orchestrates the agent workflow with retry logic and quality checks.

Stack

Technologies Used

Python
OpenAI
Whisper
LangChain
Slack API
Results

Key Outcomes

97% transcription accuracy
Sub-3-second processing per segment
Automatic Slack distribution
Structured output with action items

Want something like this?

Let's build it. I ship fast and I ship clean.