Meetings are an essential part of modern work culture — yet, capturing everything discussed can be time-consuming and prone to human error. From brainstorming sessions to client calls, teams often struggle to turn raw discussions into well-structured and actionable Minutes of Meeting (MOM).
That’s where AI-MOM, an intelligent AI Meeting Summary Generator, steps in. Built using Generative AI (GenAI), AI-MOM can automatically convert your meeting videos or audio recordings into accurate transcriptions and then summarize them into professional, well-organized Minutes of Meeting (MOM) or concise meeting summaries, depending on your needs.
👉 GitHub Repository: https://github.com/subasen85/AI-MOM
Table of Contents
🧠 What is AI-MOM?
AI-MOM (AI Minutes of Meeting) is a GenAI-based project designed to automate the process of documenting meetings. Whether your input is a video conference recording or an audio meeting file, AI-MOM follows a simple yet powerful workflow:
Video → Audio → Transcription → MOM/Summary
If the input is already an audio file, it simply performs:
Audio → Transcription → MOM/Summary
Depending on the nature of the discussion, AI-MOM intelligently determines whether to produce a detailed Minutes of Meeting (when decisions, tasks, or actions are discussed) or a concise meeting summary (when the discussion is more general or informal).
⚙️ How the AI-MOM Workflow Operates
The internal pipeline of AI-MOM demonstrates a seamless integration of speech recognition, natural language processing (NLP), and generative AI.
Here’s how it works step-by-step:
1. Video to Audio Extraction
When a meeting video is uploaded, AI-MOM first extracts the audio track using tools like FFmpeg. This ensures that even long virtual meetings (e.g., from Zoom, Google Meet, or Microsoft Teams) can be processed without losing any spoken content.
2. Speech-to-Text Conversion
The extracted audio is then transcribed into text using an AI-powered transcription model. I have used
OpenAI Whisper can convert spoken dialogue into accurate written transcripts, even with multiple speakers or background noise.
3. Text Structuring and Cleaning
Before generating the summary, AI-MOM preprocesses the transcript to remove filler words, pauses, and irrelevant segments. This step ensures that the final text reflects the meaningful parts of the conversation.
4. GenAI-Powered MOM or Summary Generation
The cleaned transcript is then passed to a Large Language Model (LLM) such as GPT or similar GenAI engines.
The model analyzes the content to determine the meeting’s intent and tone, then decides between producing:
- A Minutes of Meeting (MOM) format with bullet points, decisions, and action items
- Or a concise summary, if the discussion is general or review-based
This step transforms a long transcript into an easy-to-read, actionable report — ready for sharing or archiving.
🧩 Key Features of AI-MOM
| Feature | Description |
|---|---|
| 🎥 Multi-Input Support | Works with both video and audio meeting recordings. |
| 🗣️ Automatic Transcription | Converts spoken dialogue into accurate, timestamped text. |
| 🧾 Intelligent Summary Generation | Produces structured MOM or concise summaries using GenAI. |
| 🔍 Context-Aware Understanding | Identifies key points, tasks, and action items automatically. |
| ☁️ Scalable & Modular Design | Built in Python, easily extendable to cloud or web-based systems. |
| 🧠 GenAI Integration | Uses LLMs for natural language understanding and summarization. |
🚀 Why AI-MOM Matters in Today’s Work Environment
In today’s fast-paced world of remote and hybrid work, manual note-taking during meetings is not only inefficient but also error-prone.
With AI-MOM, organizations can:
- Save Time: Automate hours of manual note-taking.
- Improve Accuracy: Generate consistent and unbiased meeting notes.
- Increase Productivity: Focus on decision-making instead of documentation.
- Enhance Collaboration: Share structured MOMs instantly across teams.
- Maintain Records: Store searchable digital records for compliance or review.
The result? Smarter meetings and better team alignment powered by AI.
💡 How AI-MOM Differs from Traditional Transcription Tools
While basic transcription tools simply convert speech to text, AI-MOM goes several steps further.
| Capability | Traditional Tools | AI-MOM |
|---|---|---|
| Converts speech to text | ✅ | ✅ |
| Identifies context and key points | ❌ | ✅ |
| Summarizes discussions intelligently | ❌ | ✅ |
| Generates structured MOM format | ❌ | ✅ |
| Handles both video and audio inputs | ⚠️ Limited | ✅ |
| Uses Generative AI for adaptive understanding | ❌ | ✅ |
This makes AI-MOM a truly next-generation AI Meeting Summary Generator, not just a transcription tool.
🧰 Tech Stack Behind AI-MOM
AI-MOM is implemented in Python, making it developer-friendly and easy to integrate into existing workflows.
Core components include:
- FFmpeg – For extracting audio from video
- Whisper API or SpeechRecognition – For accurate transcription
- Transformers / GPT Models – For generating summaries or MOMs
- Pycharm IDE – For local development and debugging
This modular architecture ensures flexibility for both individual developers and enterprise integration.
🧪 Example Use Cases
- Corporate Teams: Automatically document weekly review meetings.
- Startups: Record investor discussions and generate instant MOMs.
- Educational Institutions: Summarize online lectures and webinars.
- Freelancers / Consultants: Capture client calls and convert them into actionable notes.
- Remote Teams: Maintain transparent meeting history without manual effort.
📈 Future Scope and Enhancements
The AI-MOM project is continuously evolving. Upcoming features may include:
- Speaker Identification (Diarization)
To tag who said what in multi-speaker meetings. - Action Item Extraction with Deadlines
Using NLP to detect responsibilities and due dates automatically. - Integration with Slack, Google Meet, or Teams
For automatic upload and MOM generation post-meeting. - Dashboard Analytics
Summaries of meeting frequency, team participation, and action tracking.
📂 Access the Project on GitHub
You can explore the complete project source code and documentation here:
👉 AI-MOM GitHub Repository
Developers are encouraged to clone, modify, or contribute to the project to enhance its capabilities and help shape the future of automated meeting summarization.
The AI-MOM project represents how Generative AI can revolutionize meeting productivity. By bridging the gap between spoken communication and actionable documentation, it empowers teams to focus on what truly matters — collaboration, innovation, and decision-making.
If you’re looking for an AI Meeting Summary Generator that’s smart, reliable, and open-source, AI-MOM is the project to watch.
👉 Explore it now on GitHub: https://github.com/subasen85/AI-MOM
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