AAR Generator
AI-assisted pipeline that converts meeting recordings and transcripts into structured After-Action Reports and DOCX documents.
Interactive demo
Drop a meeting recording
MP3, WAV, or M4A · up to 2 hours
eoc-debrief-sample.mp3
18:24 · 26.1 MB
Portfolio simulation using local sample data
Select a meeting recording (sample).
Overview
An automated After-Action Report workflow. It takes meeting recordings and transcripts, applies speaker-aware processing and retrieval over reference material, and produces a structured summary exported as a Word document. Hours of note-writing become a reviewable draft.
Role: Full-Stack Developer
Approach & responsibilities
- Built the transcription and speaker-labeling pipeline.
- Implemented retrieval-augmented generation over reference material.
- Designed structured summarization and automated DOCX output.
- Handled the file-management workflow.
Key features
- Audio transcription with speaker labels
- Retrieval-augmented generation over reference docs
- Structured, section-based summarization
- Automated Word (DOCX) generation
Architecture
Audio
Transcription
Speaker-labeled transcript
Retrieval
AI summary
DOCX report
Challenges & decisions
- Keeping generated reports faithful to the source transcript.
- Producing consistent, well-formatted DOCX output.
Outcome
- Turns raw meeting audio into a structured first-draft report automatically.
Privacy & demonstration note. The portfolio demonstration is local and non-functional: it visualizes the pipeline with an example transcript and report. No real recordings, transcripts, or model calls are used.