This is a Python-based command-line utility designed to generate a weekly class schedule for IIT Hyderabad (IITH) use. The generator takes your registered course slots, course names, and classrooms as input, and outputs a HTML file.
The core timetable structure is based on the institution's fixed slot template (1hr and 1.5hr slots):
| Day | 9:00 - 9:55 | 10:00 - 10:55 | 11:00 - 11:55 | 12:00 - 12:55 | 14:30 - 15:55 | 16:00 - 17:25 |
|---|---|---|---|---|---|---|
| Monday | A | B | C | D | P | Q |
| Tuesday | D | E | F | G | R | S |
| Wednesday | B | C | A | G | F | Challenge |
| Thursday | C | A | B | E | Q | P |
| Friday | E | F | D | G | S | R |
- Personalized Content: The final timetable displays actual Course Names and Room Numbers, not just slot letters.
- Optimized Layout: The layout is optimized for viewing, with Days on the Y-axis and Time Slots on the X-axis.
- Dynamic Highlighting: The currently active class (based on the viewing device's time) is highlighted with a striking cyan/blue holographic glow.
- Clean Look: All empty/free slots are blank for maximum visual clarity.
You only need Python 3 installed on your system. The script uses no external dependencies.
- Clone the Repository:
git clone [https://github.com/Vishal45718/IITH_Timetable.git](https://github.com/Vishal45718/IITH_Timetable.git) cd IITH_Timetable - Run the Script:
python3 timetable_maker.py
The script is interactive and will guide you through the input process:
- Enter Slots: Input all registered slot letters separated by commas (e.g.,
A, B, C, Q, R). - Enter Details: For each registered slot (e.g., 'A'), you will be prompted to enter the Course Name and the Classroom.
Upon successful completion, the script will generate a file named:
professional_dark_timetable.html
Open this file in any web browser to view your custom schedule.
A screenshot of the example generated HTML output is provided below:
We encourage contributions from the IITH community to improve this tool!
If you find bugs or have suggestions (e.g., support for Minor/LA slots, conflict detection), please follow these steps:
- Fork the repository.
- Create a new Feature Branch (
git checkout -b feature/new-feature). - Commit your changes (
git commit -m 'feat: added new feature'). - Push to the branch.
- Open a Pull Request.
This project is licensed under the MIT License.