# AI Meeting Assistant

An intelligent meeting assistant designed to streamline your workflow by transcribing, summarizing, and managing action items from your meetings. This full-stack application leverages a Python Flask backend for robust API services and a React frontend for a dynamic user experience.

## Key Features

- **User Authentication**: Secure login and registration system with role-based access control (Admin, User).
- **Meeting Management**: Create, view, and manage meetings. Upload transcripts or generate them from audio.
- **AI-Powered Summary**: Automatically generate concise summaries from lengthy meeting transcripts.
- **Action Item Tracking**: Automatically preview and batch-create action items from summaries. Manually add, edit, and delete action items with assigned owners and due dates.
- **Permission Control**: Granular permissions for editing and deleting meetings and action items based on user roles (Admin, Meeting Owner, Action Item Owner).
- **File Processing Tools**: Independent tools for audio extraction, transcription, and text translation.

## Tech Stack

**Backend:**
- **Framework**: Flask
- **Database**: SQLAlchemy with Flask-Migrate for schema migrations.
- **Authentication**: Flask-JWT-Extended for token-based security.
- **Async Tasks**: Celery with Redis/RabbitMQ for handling long-running AI tasks.
- **API**: RESTful API design.

**Frontend:**
- **Framework**: React.js
- **UI Library**: Material-UI (MUI)
- **Tooling**: Vite
- **API Communication**: Axios

## Prerequisites

- Python 3.10+
- Node.js 20.x+
- A message broker for Celery (e.g., Redis or RabbitMQ)

## Installation & Setup

### 1. Backend Setup

Clone the repository:
```bash
git clone <your-repository-url>
cd AI_meeting_assistant_-_V2.1
```

Create a virtual environment and install dependencies:
```bash
# For Windows
python -m venv venv
venv\Scripts\activate

# For macOS/Linux
python3 -m venv venv
source venv/bin/activate

pip install -r requirements.txt
```

Create a `.env` file by copying `.env.example` (if provided) or creating a new one. Configure the following:
```
FLASK_APP=app.py
SECRET_KEY=your_super_secret_key
SQLALCHEMY_DATABASE_URI=sqlite:///meetings.db  # Or your preferred database connection string
CELERY_BROKER_URL=redis://localhost:6379/0
CELERY_RESULT_BACKEND=redis://localhost:6379/0
```

Initialize and apply database migrations:
```bash
flask db init  # Only if you don't have a 'migrations' folder
flask db migrate -m "Initial migration"
flask db upgrade
```

### 2. Frontend Setup

Navigate to the frontend directory and install dependencies:
```bash
cd frontend
npm install
```

## Running the Application

The application requires three separate processes to be running: the Flask server, the Celery worker, and the Vite frontend server.

**1. Start the Flask Backend Server:**
```bash
# From the project root directory
flask run
```
The API server will be running on `http://127.0.0.1:5000`.

**2. Start the Celery Worker:**
Open a new terminal, activate the virtual environment, and run:
```bash
# From the project root directory
celery -A celery_worker.celery worker --loglevel=info
```

**3. Start the React Frontend Server:**
Open a third terminal and run:
```bash
# From the 'frontend' directory
npm run dev
```
The frontend application will be available at `http://localhost:5173`. Open this URL in your browser.