Employee Scheduler with Predictive Scheduling and Dynamic Availability This project implements a Django-based employee scheduler with features for predicting customer traffic and dynamically adjusting schedules based on real-time employee availability.
Functionality Overview:
- Employee Management: Manage employee data, including skills and availability. (Existing functionality)
- Shift Management: Create, view, and manage employee shifts. (Existing functionality)
- Predictive Scheduling:
- Integrates with a machine learning model to predict customer traffic. (Requires further development)
- Uses predicted traffic to estimate staffing needs.
- Dynamic Availability:
- Enables employees to update their availability in real-time. (Requires further development)
- Schedules employees based on both skills and current availability.
Installation:
-
Prerequisites:
- Python 3.x (https://www.python.org/downloads/)
- pip (usually comes with Python)
- Git (https://git-scm.com/downloads) (for version control)
-
Clone the repository:
git clone https://github.com/<your-username>/employee-scheduler.git
-
Install dependencies:
cd employee_scheduler pip install -r requirements.txt
Building and Running:
-
Create a virtual environment (optional, but recommended):
python -m venv venv source venv/bin/activate # Windows/Linux source venv/bin/activate.bat # macOS
-
Run Django migrations (to create database tables):
python manage.py makemigrations python manage.py migrate
-
Start the development server:
python manage.py runserver
This will start the server at http://127.0.0.1:8000/ by default.
Current Development Status:
- The core functionalities of employee and shift management are implemented.
- The prediction and dynamic availability features are partially implemented and require further development.
Design Choices and Technical Challenges:
- Machine Learning Model Selection: Choosing the most suitable model for customer traffic prediction depends on the available data and desired accuracy. Explore options like Random Forest or LSTMs.
- Real-time Employee Availability: Implementing a mechanism for employees to update their availability in real-time requires additional development (e.g., a web interface or API). Security considerations should be addressed when integrating with external systems.
- Scheduling Algorithm: The current scheduling logic is a placeholder. You can implement a more sophisticated algorithm that considers factors like skills, experience, workload preferences, and fairness in assigning shifts.