| Name | heymans JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | AI tutor for education |
| upload_time | 2025-08-30 12:44:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
ai
chatbot
llm
education
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Heymans AI tutor
Copyright 2024-2025 University of Groningen, developed by @smathot and @wkruijne
Heymans AI tutor is a Python library and web app for LLM-based teaching tools. The initial focus will be on automated grading of open exams and interactive quizzes.
This software is in early stages of development and not ready for production.
## Dependencies
For Python dependencies, see `pyproject.toml`. Python 3.10 or later is required. In addition to these, a local `redis` server needs to run for persistent data between sessions. `pandoc` needs to be installed for generating invidual feedback reports.
## Using as Python library
See `example/heymans-brightspace-example.py` for an example of how to grade an open-ended exam. This example assumes that you're using the Brightspace learning environment. The example folder also contains example output that is generated during grading.
## Running as web server (development)
Download the source code, and in the folder of the source code execute the following:
```
pip install . # install dependencies
python app.py # start the app
```
Next, access the app (by default) through:
```
http://127.0.0.1:5000/app/quiz
```
## License
Heymans is distributed under the terms of the GNU General Public License 3. The full license should be included in the file `COPYING`, or can be obtained from:
- <http://www.gnu.org/licenses/gpl.txt>
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