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AI Workforce Optimizer

An AI-powered application for optimizing workforce scheduling and management using advanced analytics and machine learning.

Features

  • 📊 Real-time demand prediction
  • 🎯 Smart scheduling optimization
  • 📈 3D visualization of workforce trends
  • 📱 Interactive dashboard
  • 📉 Historical data analysis
  • 🤖 AI-driven insights

Technologies Used

  • Frontend: Streamlit
  • Backend: FastAPI
  • AI/ML: DeepSeek AI API
  • Data Visualization: Plotly
  • Database: SQLite
  • Notifications: Twilio

Installation

  1. Clone the repository:
git clone https://github.com/YOUR_USERNAME/ai-workforce-optimizer.git
cd ai-workforce-optimizer
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the application:
# Start the backend server
uvicorn backend:app --reload

# In a new terminal, start the frontend
streamlit run frontend.py

Usage

  1. Select a date for prediction
  2. Choose department
  3. View optimized schedule and insights
  4. Download reports as needed

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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