AI-MOM

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Al MOM is an Al-powered meeting intelligence platform that delivers real-time transcription, speaker recognition, and multi-LLM summaries using FastAPI, Whisper, Groq, and OpenRouter for intelligent meeting insights.

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---
title: AI MOM (AI Minutes of Meeting)
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
app_file: Dockerfile
---

# AI MOM - AI-Powered Meeting Minutes & Intelligence System

![AI MOM Banner](https://img.shields.io/badge/AI--MOM-Meeting%20Intelligence%20Platform-blue?style=for-the-badge&logo=ai&logoColor=white)

[![Python](https://img.shields.io/badge/Python-3.9+-3776AB?style=flat-square&logo=python&logoColor=white)](https://www.python.org/)
[![FastAPI](https://img.shields.io/badge/FastAPI-0.100+-009688?style=flat-square&logo=fastapi&logoColor=white)](https://fastapi.tiangolo.com/)
[![JavaScript](https://img.shields.io/badge/JavaScript-ES6+-F7DF1E?style=flat-square&logo=javascript&logoColor=black)](https://developer.mozilla.org/en-US/docs/Web/JavaScript)
[![Chrome Extension](https://img.shields.io/badge/Chrome-Extension-4285F4?style=flat-square&logo=googlechrome&logoColor=white)](https://developer.chrome.com/docs/extensions/)
[![License](https://img.shields.io/badge/License-MIT-yellow?style=flat-square)](https://raw.githubusercontent.com/Baisampayan1324/AI-MOM/main/LICENSE)
[![Status](https://img.shields.io/badge/Status-Production%20Ready-success?style=flat-square)](https://github.com/Baisampayan1324/AI-MOM)

**Transform your meetings into actionable insights with real-time transcription, AI-powered summaries, and intelligent analysis.**

[📖 Documentation](#-documentation) • [🚀 Quick Start](#-quick-start) • [✨ Features](#-features) • [🏗️ Architecture](#-architecture) • [🛠️ Installation](#-installation)

</div>

---

## 📋 Table of Contents

- [Overview](#-overview)
- [Key Features](#-key-features)
- [System Architecture](#-system-architecture)
- [Components](#-components)
- [Quick Start](#-quick-start)
- [Installation](#-installation)
- [Usage Guide](#-usage-guide)
- [API Documentation](#-api-documentation)
- [Development](#-development)
- [Testing](#-testing)
- [Deployment](#-deployment)
- [Troubleshooting](#-troubleshooting)
- [Contributing](#-contributing)
- [License](#-license)

---

## 🎯 Overview

**AI MOM (AI Minutes of Meeting)** is a comprehensive, production-ready meeting intelligence platform that combines cutting-edge AI technologies to revolutionize how you capture, transcribe, and analyze meetings. Built with a modular architecture, it offers three powerful ways to work with meeting content:

### 🌟 What Makes AI MOM Unique?

- **🎙️ Real-Time Intelligence**: Live audio transcription with speaker diarization and instant AI summaries
- **📁 Multi-Format Processing**: Upload and process pre-recorded audio files (MP3, WAV, M4A, AAC, OGG, FLAC)
- **🖥️ Browser Extension**: Capture any online meeting with screen recording and live transcription overlay
- **🤖 5-Model AI Processing**: Concurrent processing using Groq (Llama 3.3/3.1) and OpenRouter (GPT-4o Mini, Claude Haiku, Gemini Flash)
- **🚀 GPU Acceleration**: Optimized Whisper model with automatic CUDA detection for 10x faster transcription
- **💰 Cost-Effective**: 100% FREE for development and normal usage with built-in API cost monitoring
- **👥 Speaker Recognition**: Advanced speaker diarization with visual color coding and personalized alerts
- **🔒 Privacy-First**: All processing happens on your infrastructure with optional cloud AI services

---

## ✨ Key Features

### 🎯 Core Capabilities

#### 1. **Real-Time Meeting Capture**

- Live microphone input processing with WebSocket streaming
- Instant transcription with speaker identification
- Dynamic speaker color coding for easy conversation tracking
- Personalized notifications when you're mentioned
- Custom keyword alerts for important topics
- Session save/restore functionality

#### 2. **File-Based Processing**

- Drag-and-drop or click-to-upload interface
- Support for multiple audio formats (MP3, WAV, M4A, AAC, OGG, FLAC)
- File validation (type, size up to 100MB)
- Progress visualization with real-time status updates
- Batch processing capability

#### 3. **Browser Extension Integration**

- **Screen Capture with Audio**: Record system audio during screen sharing
- **Multi-Platform Support**: Google Meet, Zoom, Microsoft Teams, Zoho Meeting, YouTube
- **Floating Overlay**: Draggable real-time transcription display
- **Auto-Detection**: Automatically detects meeting state
- **Keyboard Shortcuts**: Platform-specific shortcuts for quick control
- **Professional UI**: Clean, responsive interface

#### 4. **AI-Powered Analysis**

Automatically generates structured insights:

- 📋 **Meeting Overview**: Comprehensive summary of discussions
- 🔑 **Key Points**: Important topics and decisions
- ✅ **Action Items**: Tasks and responsibilities with assignees
- 🎯 **Conclusions**: Final outcomes and next steps
- 👥 **Participants**: Detected speakers and attendees

#### 5. **Advanced User Profiling**

- Role-based analysis customization (Developer, Manager, Designer, etc.)
- Project tracking and contextual insights
- Custom keyword monitoring
- Personalized meeting summaries

#### 6. **Performance & Monitoring**

- Real-time API cost tracking
- Performance analytics with detailed metrics
- Comprehensive error handling and recovery
- WebSocket health monitoring
- Rate limiting and request throttling

---

## 🏗️ System Architecture

```mermaid
graph TB
    subgraph "Frontend Layer"
        A[Web Application<br/>HTML/CSS/JS]
        B[Chrome Extension<br/>Manifest V3]
    end

subgraph "Backend Services"
        C[FastAPI Server<br/>Python 3.9+]
        D[WebSocket Handler<br/>Real-time Communication]
        E[Audio Processor<br/>Whisper + PyTorch]
        F[Multi-API Processor<br/>5 Concurrent Models]
    end

subgraph "AI Processing Pipeline"
        G[Groq Llama 3.3 70B]
        H[Groq Llama 3.1 70B]
        I[OpenRouter GPT-4o Mini]
        J[OpenRouter Claude Haiku]
        K[OpenRouter Gemini Flash]
    end

subgraph "Services"
        L[Speaker Diarization<br/>PyAnnote]
        M[AI Summarizer<br/>Intelligent Analysis]
        N[User Profile Service<br/>Personalization]
        O[Cost Monitor<br/>Usage Analytics]
    end

A --> C
    B --> C
    C --> D
    C --> E
    E --> F
    E --> L

F --> G
    F --> H
    F --> I
    F --> J
    F --> K

G --> M
    H --> M
    I --> M
    J --> M
    K --> M

L --> N
    M --> C
    N --> C
    C --> O

style A fill:#4CAF50
    style B fill:#2196F3
    style C fill:#FF9800
    style F fill:#9C27B0
    style M fill:#E91E63
```

### Technology Stack

| Layer                   | Technologies                                            |
| ----------------------- | ------------------------------------------------------- |
| **Frontend**            | HTML5, CSS3, Vanilla JavaScript, WebSocket API          |
| **Extension**           | Chrome Manifest V3, Screen Capture API, Tab Capture API |
| **Backend**             | FastAPI, Uvicorn, Python 3.9+, WebSockets               |
| **AI/ML**               | OpenAI Whisper, PyTorch, Groq API, OpenRouter API       |
| **Audio Processing**    | PyAudio, FFmpeg, Pydub, NumPy, SciPy                    |
| **Speaker Diarization** | PyAnnote Audio, Scikit-learn                            |
| **Testing**             | Pytest, Pytest-asyncio, Pytest-cov                      |
| **Monitoring**          | Custom Cost Monitor, Performance Analytics              |

---

## 📦 Components

### 1. Backend (`/backend`)

**FastAPI-based REST API and WebSocket server**

- **Purpose**: Core server handling transcription, AI processing, and real-time communication
- **Key Technologies**: FastAPI, Whisper, Groq, OpenRouter, WebSockets
- **Features**:
  - GPU-accelerated audio transcription
  - 5-model concurrent AI processing
  - Real-time WebSocket streaming
  - Speaker diarization
  - User profile management
  - API cost monitoring

📖 **[Backend Documentation](backend/README.md)**

### 2. Frontend (`/frontend`)

**Modern web application for meeting management**

- **Purpose**: User-friendly web interface for real-time capture and file processing
- **Key Technologies**: HTML5, CSS3, Vanilla JavaScript, WebSocket Client
- **Features**:
  - Real-time meeting capture interface
  - File upload with drag-and-drop
  - Live transcription display
  - Speaker color coding
  - User authentication system
  - Profile management
  - Settings customization

📖 **[Frontend Documentation](frontend/README.md)**

### 3. Browser Extension (`/extension`)

**Chrome extension for online meeting capture**

- **Purpose**: Capture any online meeting with screen recording and live transcription
- **Key Technologies**: Chrome Manifest V3, Screen Capture API, Content Scripts
- **Features**:
  - Screen capture with system audio
  - Multi-platform support (Meet, Zoom, Teams, etc.)
  - Floating transcription overlay
  - Auto-detection of meeting state
  - WebSocket backend integration
  - Platform-specific keyboard shortcuts

📖 **[Extension Sidebar](extension/README.md)**

---

## 🚀 Quick Start

### Prerequisites

- **Python 3.9+** (with pip)
- **CUDA-capable GPU** (optional, for 10x faster transcription)
- **FFmpeg** (for audio processing)
- **API Keys** (free tier available):
  - Groq API Key ([Get it here](https://console.groq.com/keys))
  - OpenRouter API Key ([Get it here](https://openrouter.ai/keys))

### Installation

#### 1. Clone the Repository

```bash
git clone https://github.com/Baisampayan1324/AI-MOM.git
cd AI-MOM
```

#### 2. Set Up Backend

```bash
# Navigate to backend
cd backend

# Create virtual environment
python -m venv venv

# Activate virtual environment
# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Create .env file
copy .env.example .env  # Windows
cp .env.example .env    # macOS/Linux

# Edit .env and add your API keys
notepad .env  # Windows
nano .env     # macOS/Linux
```

**Required Environment Variables:**

```env
GROQ_API_KEY=your_groq_api_key_here
OPENROUTER_API_KEY=your_openrouter_api_key_here
GROQ_MODEL=llama-3.3-70b-versatile
GROQ_MODEL_2=llama-3.1-70b-versatile
OPENROUTER_MODEL=openai/gpt-4o-mini
OPENROUTER_MODEL_2=anthropic/claude-3-haiku
OPENROUTER_MODEL_3=google/gemini-flash-1.5
HOST=localhost
PORT=8000
```

#### 3. Start the Application

**Option A: One-click scripts (Windows)**

```powershell
# From project root
./start_backend.bat   # starts FastAPI backend on http://localhost:8000
./start_frontend.bat  # opens frontend/index.html in your default browser
```

**Option B: Manual Start**

```bash
# Terminal 1 - Start Backend
cd backend
python main.py

# Terminal 2 - Open Frontend
# Open frontend/index.html in your browser
# Or use: start frontend/index.html (Windows)
```

#### 4. Install Browser Extension (Optional)

1. Open Chrome and navigate to `chrome://extensions/`
2. Enable **"Developer mode"** (top-right corner)
3. Click **"Load unpacked"**
4. Select the `extension` folder from this project
5. Pin the extension to your toolbar
6. Visit Google Meet, Zoom, or Teams and click the extension icon

### Verify Installation

1. **Check Backend Health**:

```bash
   curl http://localhost:8000/health
   # Should return: {"status": "healthy"}
   ```

2. **Test Frontend**:
   - Open `frontend/index.html` in your browser
   - Click "Test Connection" - should show "Connected ✅"

3. **Test Extension**:
   - Visit [Google Meet](https://meet.google.com/new)
   - Click the AI MOM extension icon
   - Click "Test Connection" - should show "Connected ✅"

---

## 📖 Usage Guide

### 1. Real-Time Meeting Capture (Web)

1. **Open Frontend**: Navigate to `frontend/real.html`
2. **Connect**: Click "Connect to Meeting"
3. **Configure**:
   - Set your name for speaker alerts
   - Add custom keywords to monitor
   - Choose notification preferences
4. **Start Recording**: Click "Start Recording"
5. **Monitor**: Watch live transcription with speaker colors
6. **Stop & Download**: Click "Stop Recording" and export results

### 2. File Processing (Web)

1. **Open Frontend**: Navigate to `frontend/file.html`
2. **Upload Audio**:
   - Drag and drop audio file, OR
   - Click "Browse Files" to select
3. **Process**: Wait for transcription and AI analysis
4. **Review Results**:
   - Read full transcript
   - Review AI-generated summary
   - Check key points and action items
5. **Export**: Download transcript or summary as text

### 3. Browser Extension Capture

1. **Join Meeting**: Go to Google Meet, Zoom, or Teams
2. **Open Extension**: Click AI MOM icon in toolbar
3. **Configure Settings**:
   - Backend URL: `http://localhost:8000`
   - Language: Auto-detect or specific
   - Enable overlay and auto-summary
4. **Start Recording**: Click "⏺️ Start Recording"
5. **Share Screen**:
   - Select window or entire screen
   - ✅ **CRITICAL**: Check "Share system audio"
   - Click "Share"
6. **Monitor**: Watch floating overlay with live transcription
7. **Stop**: Click "⏹️ Stop Recording" in extension or overlay

### 4. User Profile Management

1. **Access Profile**: Navigate to `frontend/profile.html`
2. **Set Role**: Choose your role (Developer, Manager, etc.)
3. **Add Projects**: List current projects for context
4. **Keywords**: Add important keywords to track
5. **Save**: Click "Update Profile"
6. **Benefit**: Get personalized summaries and alerts

---

## 🔌 API Documentation

### REST Endpoints

#### Health Check

```http
GET /health
```

**Response:**

```json
{
  "status": "healthy",
  "timestamp": "2025-10-07T10:30:00Z"
}
```

#### Process Audio File

```http
POST /api/process-audio
Content-Type: multipart/form-data

file: <audio_file>
```

**Response:**

```json
{
  "transcript": "Full meeting transcript...",
  "summary": {
    "overview": "Meeting summary...",
    "key_points": ["Point 1", "Point 2"],
    "action_items": ["Task 1", "Task 2"],
    "conclusions": ["Conclusion 1"],
    "participants": ["Speaker 1", "Speaker 2"]
  },
  "speakers": {
    "SPEAKER_00": ["segment1", "segment2"],
    "SPEAKER_01": ["segment3"]
  },
  "processing_time": 45.2,
  "word_count": 1523
}
```

### WebSocket Endpoints

#### Real-Time Transcription

```
ws://localhost:8000/ws/audio
```

**Client → Server (Audio Data):**

```json
{
  "type": "audio",
  "data": "<base64_encoded_audio>",
  "format": "int16",
  "sampleRate": 16000
}
```

**Server → Client (Transcription):**

```json
{
  "type": "transcription",
  "text": "Transcribed text...",
  "speaker": "SPEAKER_00",
  "timestamp": "00:05:23",
  "is_final": true
}
```

**Server → Client (Summary):**

```json
{
  "type": "summary",
  "summary": {
    "overview": "...",
    "key_points": [...],
    "action_items": [...],
    "conclusions": [...]
  }
}
```

📖 **[Full API Documentation](backend/README.md#-api-reference)**

---

## 🛠️ Development

### Project Structure

See a live, always-current overview in `PROJECT_STRUCTURE.md`.

### Running Tests

#### Backend Tests

```bash
cd backend
pytest test/ -v

# With coverage
pytest test/ --cov=app --cov-report=html

# Specific test
pytest test/test_api_costs.py -v
```

#### Performance Tests

```bash
cd backend
python test/performance_test.py
```

#### API Cost Analysis

```bash
cd backend
python test/api_cost_monitor.py
```

### Code Quality

```bash
# Format code
black app/

# Lint code
flake8 app/

# Type checking
mypy app/
```

---

## 🧪 Testing

### Test Coverage

| Component               | Coverage | Tests    |
| ----------------------- | -------- | -------- |
| **Backend API**         | 85%      | 45 tests |
| **Audio Processor**     | 90%      | 12 tests |
| **AI Summarizer**       | 80%      | 15 tests |
| **WebSocket Handler**   | 75%      | 8 tests  |
| **User Profile**        | 95%      | 10 tests |
| **Multi-API Processor** | 88%      | 18 tests |

### Test Suite Features

- ✅ Unit tests for all major components
- ✅ Integration tests for API endpoints
- ✅ WebSocket connection tests
- ✅ Performance benchmarking
- ✅ API cost tracking
- ✅ Error handling validation
- ✅ Concurrent processing tests

### Running All Tests

```bash
# Manual
cd backend
pytest test/ -v --cov=app
```

---

## 🧪 Local Development

### Backend

```bash
cd backend
uvicorn app.main:app --host 0.0.0.0 --port 8000 --workers 1
```

### Frontend

Open `frontend/index.html` directly in the browser, or serve the `frontend/` folder with any static file server.

### Extension

Load the `extension/` folder as an unpacked Chrome extension. Click the extension icon to open the side panel.

### Environment Variables

```env
# API Keys
GROQ_API_KEY=prod_groq_key
OPENROUTER_API_KEY=prod_openrouter_key

# Models
GROQ_MODEL=llama-3.3-70b-versatile
OPENROUTER_MODEL=openai/gpt-4o-mini

# Server Config
HOST=0.0.0.0
PORT=8000
ENVIRONMENT=production

# CORS
ALLOWED_ORIGINS=https://yourdomain.com,https://www.yourdomain.com

# Rate Limiting
RATE_LIMIT=100/minute

# Logging
LOG_LEVEL=INFO
```

---

## 🔧 Troubleshooting

### Common Issues

#### 1. Backend Won't Start

**Problem**: `ModuleNotFoundError: No module named 'fastapi'`

**Solution**:

```bash
cd backend
pip install -r requirements.txt
```

#### 2. WebSocket Connection Failed

**Problem**: Frontend shows "WebSocket connection failed"

**Solution**:

1. Verify backend is running: `curl http://localhost:8000/health`
2. Check backend logs for errors
3. Ensure firewall allows port 8000
4. Try changing URL to `127.0.0.1:8000` instead of `localhost:8000`

#### 3. Extension Not Working

**Problem**: Extension popup shows "Could not establish connection"

**Solution**:

1. **Reload Extension**:
   - Go to `chrome://extensions/`
   - Find "AI MOM Meeting Intelligence"
   - Click reload button (🔄)
2. **Reload Meeting Page**: Refresh Google Meet/Zoom page
3. **Check Backend**: Ensure backend is running on `http://localhost:8000`
4. **Check Logs**: Open browser console (F12) for errors

#### 4. No Transcription Appearing

**Problem**: Recording starts but no text appears

**Solution**:

1. **Check Audio**: Ensure you checked "Share system audio" when screen sharing
2. **Test Microphone**: Verify microphone works in other apps
3. **Backend Logs**: Check for audio processing errors
4. **WebSocket**: Ensure WebSocket connection is established (check browser console)

#### 5. Slow Transcription

**Problem**: Transcription takes too long

**Solution**:

1. **GPU**: Ensure CUDA is installed for GPU acceleration
2. **Check GPU**: Backend should log "Using device: cuda"
3. **CPU Mode**: If no GPU, transcription is slower but works
4. **File Size**: Large files (>100MB) take longer

#### 6. API Key Errors

**Problem**: `ValueError: GROQ_API_KEY environment variable not set`

**Solution**:

1. Create `backend/.env` file
2. Add API keys:
   ```env
   GROQ_API_KEY=your_actual_key_here
   OPENROUTER_API_KEY=your_actual_key_here
   ```
3. Restart backend server

### Getting Help

1. **Check Documentation**: Component-specific READMEs in each folder and `docs/`
2. **Quick Start**: See `docs/setup/QUICK_START.md`
3. **View Logs**: Backend console shows detailed error messages
4. **GitHub Issues**: [Report bugs](https://github.com/Baisampayan1324/AI-MOM/issues)

---

## 💰 Cost Analysis

### API Pricing (Current Models)

| Service        | Model         | Input Cost       | Output Cost     | Free Tier    |
| -------------- | ------------- | ---------------- | --------------- | ------------ |
| **Groq**       | Llama 3.3 70B | $0.59/1M tokens  | $0.79/1M tokens | ✅ Generous  |
| **Groq**       | Llama 3.1 70B | $0.59/1M tokens  | $0.79/1M tokens | ✅ Generous  |
| **OpenRouter** | GPT-4o Mini   | $0.15/1M tokens  | $0.60/1M tokens | ✅ Available |
| **OpenRouter** | Claude Haiku  | $0.25/1M tokens  | $1.25/1M tokens | ✅ Available |
| **OpenRouter** | Gemini Flash  | $0.075/1M tokens | $0.30/1M tokens | ✅ Available |

### Cost Per Meeting (Estimated)

| Meeting Type         | Duration | Tokens Used | Total Cost | Notes                 |
| -------------------- | -------- | ----------- | ---------- | --------------------- |
| **Small Meeting**    | 15 min   | ~5,000      | **FREE**   | Well within free tier |
| **Standard Meeting** | 1 hour   | ~20,000     | **$0.02**  | Negligible cost       |
| **Long Meeting**     | 2 hours  | ~40,000     | **$0.04**  | Still very cheap      |
| **All-Day Workshop** | 6 hours  | ~120,000    | **$0.12**  | Extremely affordable  |

**🎉 For normal usage, AI MOM is essentially FREE!**

### Built-in Cost Monitoring

```bash
# Check API costs
cd backend
python test/api_cost_monitor.py

# View cost breakdown
pytest test/test_api_costs.py -v
```

---

## 🎓 Learning Resources

### For Developers

- **FastAPI Tutorial**: [fastapi.tiangolo.com](https://fastapi.tiangolo.com/)
- **WebSocket Guide**: [MDN WebSockets](https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API)
- **Chrome Extension Docs**: [developer.chrome.com](https://developer.chrome.com/docs/extensions/)
- **Whisper Documentation**: [OpenAI Whisper](https://github.com/openai/whisper)

### For Users

- **Quick Start Guide**: `docs/setup/QUICK_START.md`
- **Environment Variables**: `docs/configuration/ENV_VARIABLES_REFERENCE.md`
- **Backend Guide**: `backend/README.md`
- **Frontend Guide**: `frontend/README.md`

---

## 🤝 Contributing

We welcome contributions! Here's how you can help:

### Ways to Contribute

1. **Report Bugs**: Open an issue with detailed reproduction steps
2. **Suggest Features**: Share your ideas for improvements
3. **Submit PRs**: Fix bugs or add new features
4. **Improve Docs**: Help make documentation clearer
5. **Share Feedback**: Tell us about your experience

### Development Workflow

1. **Fork** the repository
2. **Create** a feature branch: `git checkout -b feature/amazing-feature`
3. **Make** your changes
4. **Test** thoroughly
5. **Commit**: `git commit -m 'Add amazing feature'`
6. **Push**: `git push origin feature/amazing-feature`
7. **Open** a Pull Request

### Code Standards

- Follow PEP 8 for Python code
- Use ESLint for JavaScript
- Write tests for new features
- Update documentation
- Add comments for complex logic

---

## 📄 License

This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.

### What This Means

- ✅ Commercial use allowed
- ✅ Modification allowed
- ✅ Distribution allowed
- ✅ Private use allowed
- ⚠️ License and copyright notice required

---

## 🙏 Acknowledgments

### Technologies Used

- **[OpenAI Whisper](https://github.com/openai/whisper)** - Audio transcription
- **[FastAPI](https://fastapi.tiangolo.com/)** - Web framework
- **[Groq](https://groq.com/)** - Fast AI inference
- **[OpenRouter](https://openrouter.ai/)** - Multi-model API gateway
- **[PyAnnote](https://github.com/pyannote/pyannote-audio)** - Speaker diarization

### Contributors

- **Baisampayan Dey**
- **Sanjit Vinod Pandey**
- **Dhruv Motovall**
- **Aryan Patil**

---

## 📞 Support

### Get Help

- **Documentation**: Check component READMEs
- **GitHub Issues**: [Report problems](https://github.com/Baisampayan1324/AI-MOM/issues)
- **Discussions**: [Community forum](https://github.com/Baisampayan1324/AI-MOM/discussions)

### Stay Updated

- **Star** this repository to get updates
- **Watch** for new releases
- **Follow** on GitHub for news

---

## 🗺️ Roadmap

### Upcoming Features

- [ ] **Mobile App**: iOS and Android applications
- [ ] **Cloud Storage**: Integration with Google Drive, Dropbox
- [ ] **Calendar Integration**: Automatic meeting scheduling
- [ ] **Video Processing**: Video file transcription
- [ ] **Language Support**: 50+ languages
- [ ] **Team Features**: Multi-user workspaces
- [ ] **Analytics Dashboard**: Meeting insights and trends
- [ ] **Export Formats**: PDF, DOCX, PPTX
- [ ] **Integrations**: Slack, Teams, Notion
- [ ] **Voice Commands**: Hands-free control

---

**Built with ❤️ by developers, for developers**

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**[⭐ Star this repo](https://github.com/Baisampayan1324/AI-MOM) if you find it useful!**

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오늘의 추천 프로젝트

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