https://github.com/sushpawar001/pyautoscheduler
PyAutoScheduler is a Python application designed to automate the scheduling of lectures based on user-provided constraints. This application is especially useful for educational institutions looking to efficiently allocate professors, subjects, and classes within specified departments and years.
https://github.com/sushpawar001/pyautoscheduler
automation python reportlab tkinter ttkbootstrap
Last synced: 3 months ago
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PyAutoScheduler is a Python application designed to automate the scheduling of lectures based on user-provided constraints. This application is especially useful for educational institutions looking to efficiently allocate professors, subjects, and classes within specified departments and years.
- Host: GitHub
- URL: https://github.com/sushpawar001/pyautoscheduler
- Owner: sushpawar001
- Created: 2023-09-01T10:30:08.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-10T06:49:40.000Z (over 1 year ago)
- Last Synced: 2024-01-10T07:55:41.629Z (over 1 year ago)
- Topics: automation, python, reportlab, tkinter, ttkbootstrap
- Language: Python
- Homepage:
- Size: 71.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
PyAutoScheduler is a Python application designed to automate the scheduling of lectures based on user-provided constraints. This application is especially useful for educational institutions looking to efficiently allocate professors, subjects, and classes within specified departments and years.
## Features
- **User-Friendly Interface**: Easily input data, import data from CSV files, and configure department settings through a simple and intuitive interface.
- **Flexible Data Entry**: Provide information about departments, years/classes, professors, and subjects to tailor the scheduling process to your institution's specific needs.
- **CSV Import**: Streamline data entry by importing information from CSV files. A sample structure for the CSV file is provided for user convenience.
- **Customizable Timings**: Adjust college timings according to departments using the dedicated "Department Settings" tab.
- **Export Functionality**: Export generated timetables in both PDF and CSV formats from the "Export Timetable" tab for convenient sharing and record-keeping.
## Constraints
### Fully Satisfied Constraints
1. **Professor Allocation**: No professor will be allocated to two different classes simultaneously.
2. **Subject Allocation**: One subject cannot be allocated to two different professors in the same year/class.
3. **Workload Management**: The app ensures that the number of lectures per week for a professor per subject (workload) does not exceed specified limits.
### Partially Satisfied Constraints
1. **Incomplete Slot Filling**: All slots of classes may not be filled. If there are no available professors, a slot will remain empty.
## Getting Started
To use PyAutoScheduler, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/sushpawar001/PyAutoScheduler.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the main application:
```bash
python main.py
```
## Usage Instructions
1. Navigate to the "Options" tab.
2. Use the "Add Data" tab to manually input information or the "Import CSV" tab to import data from a CSV file.
3. Adjust college timings based on departments in the "Department Settings" tab.
4. Generate timetables in PDF or CSV format in the "Export Timetable" tab.
## Note
- Ensure that you have Python installed on your system before running the application.
Feel free to explore, contribute, and enhance PyAutoScheduler to better suit your scheduling needs. Happy scheduling!