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🧠
AI Project

Meeting Notes Summarizer

👤 by Syed Mansoor Ali 📍 Karachi 📅 Jul 4, 2026
❤️ 14
Votes
89
🤖 AI Score
1
💬 Reviews
377
👁 Views

📦 Deliverables

🌐
Live Demo
https://meetings.demo.worklms.com
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🐙
Source Code
https://github.com/mansoor/meeting-su…
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🎬
Demo Video
https://youtu.be/meetingDemo
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🎯 Problem Statement

Teams sit through hour-long meetings then forget action items and decisions.

🛠️ What I Built

A Python service that takes a meeting transcript (or audio), splits by speaker, summarizes decisions, extracts action items with owners and deadlines, and emails a digest.

🔥 Challenges I Faced

Speaker diarization accuracy and detecting action items buried in casual conversation.

💡 What I Learned

Whisper transcription, prompt chaining for action item extraction, and async task queues.

🚀 Future Improvements

Slack/Teams integration and a dashboard of recurring action items.

🧰 Tech Stack & AI Tools

PythonFastAPIWhisperCeleryRedisOpenAI
🤖 AI Tools Used:
WhisperChatGPTClaude

🎬 Demo Video

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⭐ Community Reviews (1)

M
mehwish kanwal 👤 Peer
★★★★★
Jul 6, 2026

Extracting action items and owners from a raw transcript is genuinely useful. The summary is concise and the action items are accurate. Speaker attribution works well even with overlapping dialogue.