🎬 AI Video Task Manager

AI Video Task Manager is a complete workflow automation system for managing video tutorial creation tasks with intelligent reminder escalation (Email → WhatsApp → IVR).

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✨ Features

• 📋 Task Management – Create, update, delete, and track video tasks
• 🎯 Auto Stage Creation – 6 workflow stages automatically created per task
• 📧 Smart Reminders – Email, WhatsApp, and IVR escalation based on delay
• 📊 Real-time Reports – Complete task-stage joined reports
• 👤 User Authentication – Secure login with role-based access
• 🔔 Auto Scheduler – Daily reminder checks at 9:00 AM

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🛠️ Tech Stack

• Frontend: HTML, CSS, Bootstrap, JavaScript
• Backend: Python (FastAPI)
• Database: SQLite (scalable to PostgreSQL)
• ORM: SQLAlchemy
• Email: SMTP (Gmail)
• Scheduler: APScheduler

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📁 Folder Structure

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Ai_Video_Task_manager/
├── static/
│ ├── css/
│ │ └── style.css
│ ├── js/
│ │ └── app.js
│ ├── index.html
│ └── login.html
├── routers/
│ ├── task.py
│ ├── stage.py
│ └── report.py
├── services/
│ ├── email_service.py
│ └── reminder_service.py
├── main.py
├── database.py
├── models.py
├── schemas.py
├── requirements.txt
├── .env
└── README.md

⚙️ Getting Started

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1. Clone the repo

git clone https://github.com/dj-ayush/MetaSynAI.git
cd MetaSynAI

2. Create & activate a virtual environment

python -m venv venv
# On Windows
venv\Scripts\activate
# On Mac/Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Configure environment variables

DATABASE_URL=sqlite:///./ai_video_tasks.db
SMTP_SERVER=smtp.gmail.com
SMTP_PORT=587
SENDER_EMAIL=your-email@gmail.com
SENDER_PASSWORD=your-app-password
DEBUG=True

5. Initialize database

python -c "from database import Base, engine; Base.metadata.create_all(bind=engine)"

6. Run the app

uvicorn main:app --reload --host 0.0.0.0 --port 8000

7. Open in browser

http://localhost:8000

Default Login

Email: ayushgupta.7ag@gmail.com
Password: admin123

🤝 Contributing

We welcome contributions!

1. Fork the repo
2. Create a new branch: git checkout -b feature-name
3. Commit your changes: git commit -m "Added feature"
4. Push to your branch: git push origin feature-name
5. Create a pull request 🚀

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📄 License

This project is licensed under the MIT License.

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Built with ❤️ by @dj-ayush