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AI_AUTOMATION

Meeting Analysis System

Upload business meeting recordings and automatically extract requirements, action items, and key decisions using AI. Turn conversations into structured documentation.

90% time saved on documentation
Meeting Analysis System
PROJECT_OVERVIEW

Project Overview

CLIENT

Business Process Automation

TIMELINE

6 weeks

ROLE

Full-Stack Developer & AI Integration

Business meetings generate valuable information—requirements, decisions, action items—but this knowledge often gets lost or requires hours to document manually. I built a system that automatically transcribes, analyzes, and structures meeting content.

THE_CHALLENGE

The Challenge

CHALLENGE_01Process audio/video files of varying formats and quality
CHALLENGE_02Accurately transcribe conversations with multiple speakers
CHALLENGE_03Identify and extract specific business artifacts (requirements, actions, decisions)
CHALLENGE_04Handle long meetings without losing context or exceeding AI token limits
CHALLENGE_05Produce output in structured, usable formats (not just raw transcripts)
THE_SOLUTION

The Solution

An end-to-end pipeline that handles everything from file upload to structured output, using multiple AI models for different tasks.

FEATURE_01

Multi-Format Processing

FFmpeg-based pipeline handles MP3, MP4, WAV, and video files. Automatic audio extraction and optimization for transcription.

FEATURE_02

Speaker Diarization

Identifies different speakers in the recording, attributing statements and action items to specific participants.

FEATURE_03

AI Transcription

Google's Gemini AI for accurate transcription with support for multiple languages and technical terminology.

FEATURE_04

Smart Extraction

Separate AI passes to identify requirements, decisions, action items, and follow-ups with confidence scoring.

FEATURE_05

Structured Output

Clean, formatted documentation ready for project management tools, wikis, or direct stakeholder distribution.

TECH_STACK

Technology Stack

AI

Gemini AIWhisper

Backend

Node.jsTypeScript

Processing

FFmpegBull Queue

Frontend

Next.jsReact

Infrastructure

AWS S3Docker
RESULTS

Results

TIME_SAVED

90%

Time saved vs manual

PROCESSING

<5min

Processing for 1hr meeting

ACCURACY

95%+

Transcription accuracy

CAPTURE_RATE

100%

Action items captured

The system transforms how teams handle meeting documentation. What used to take hours of manual note-taking and follow-up now happens automatically. Teams get structured, actionable output within minutes of the meeting ending.

CONTACT

Need Similar AI Automation?

If you're looking to automate document processing, content extraction, or similar workflows, let's discuss your use case.

[ DISCUSS YOUR PROJECT ]
Asaf Arviv | Senior Software Architect & MVP Development