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:

git clone <your-repository-url>
cd AI_meeting_assistant_-_V2.1

Create a virtual environment and install dependencies:

# 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:

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:

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:

# 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:

# 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:

# From the 'frontend' directory
npm run dev

The frontend application will be available at http://localhost:5173. Open this URL in your browser.