{"id":26378175,"url":"https://github.com/sushpawar001/pyautoscheduler","last_synced_at":"2025-06-29T11:34:55.171Z","repository":{"id":192078458,"uuid":"685926298","full_name":"sushpawar001/PyAutoScheduler","owner":"sushpawar001","description":"PyAutoScheduler is a Python application designed to automate the scheduling of lectures based on user-provided constraints. 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This application is especially useful for educational institutions looking to efficiently allocate professors, subjects, and classes within specified departments and years.\n\n## Features\n\n- **User-Friendly Interface**: Easily input data, import data from CSV files, and configure department settings through a simple and intuitive interface.\n\n- **Flexible Data Entry**: Provide information about departments, years/classes, professors, and subjects to tailor the scheduling process to your institution's specific needs.\n\n- **CSV Import**: Streamline data entry by importing information from CSV files. A sample structure for the CSV file is provided for user convenience.\n\n- **Customizable Timings**: Adjust college timings according to departments using the dedicated \"Department Settings\" tab.\n\n- **Export Functionality**: Export generated timetables in both PDF and CSV formats from the \"Export Timetable\" tab for convenient sharing and record-keeping.\n\n## Constraints\n\n### Fully Satisfied Constraints\n\n1. **Professor Allocation**: No professor will be allocated to two different classes simultaneously.\n\n2. **Subject Allocation**: One subject cannot be allocated to two different professors in the same year/class.\n\n3. **Workload Management**: The app ensures that the number of lectures per week for a professor per subject (workload) does not exceed specified limits.\n\n### Partially Satisfied Constraints\n\n1. **Incomplete Slot Filling**: All slots of classes may not be filled. If there are no available professors, a slot will remain empty.\n\n## Getting Started\n\nTo use PyAutoScheduler, follow these steps:\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/sushpawar001/PyAutoScheduler.git\n   ```\n\n2. Install the required dependencies:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Run the main application:\n\n   ```bash\n   python main.py\n   ```\n\n## Usage Instructions\n\n1. Navigate to the \"Options\" tab.\n2. Use the \"Add Data\" tab to manually input information or the \"Import CSV\" tab to import data from a CSV file.\n3. Adjust college timings based on departments in the \"Department Settings\" tab.\n4. Generate timetables in PDF or CSV format in the \"Export Timetable\" tab.\n\n## Note\n\n- Ensure that you have Python installed on your system before running the application.\n\nFeel free to explore, contribute, and enhance PyAutoScheduler to better suit your scheduling needs. 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