https://github.com/ionmich/instructor_pilot
Automate Instructor/TA Tasks and integrate with Canvas API
https://github.com/ionmich/instructor_pilot
canvaslms django ml mnist onnx opencv uf
Last synced: about 2 months ago
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Automate Instructor/TA Tasks and integrate with Canvas API
- Host: GitHub
- URL: https://github.com/ionmich/instructor_pilot
- Owner: IonMich
- License: apache-2.0
- Created: 2022-06-29T02:39:51.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-13T05:17:39.000Z (3 months ago)
- Last Synced: 2025-03-20T20:14:11.497Z (2 months ago)
- Topics: canvaslms, django, ml, mnist, onnx, opencv, uf
- Language: TypeScript
- Homepage:
- Size: 23 MB
- Stars: 6
- Watchers: 4
- Forks: 3
- Open Issues: 19
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
[](https://github.com/IonMich/instructor_pilot/actions/workflows/python-package-conda.yml)
# Instructor Pilot

## Description
A Django app to assist Teaching Assistants and Instructors with Canvas integration.
It depends on the [canvasapi](https://github.com/ucfopen/canvasapi) library.
## Installation
You can find installation instructions [here](https://github.com/IonMich/instructor_pilot/wiki/Installation-Instructions).
# Usage
The installation instructions need to be followed only once. After that, you can run the app by simply navigating to the `instructor_pilot` directory and running:
```shell
conda activate django-ta
python manage.py runserver
```where you should replace `django-ta` with the name you chose for the conda environment during installation. If you do not recall the name of the conda environment you created, run `conda info --envs` to get a list of all conda environments in your system.
# Updating the source code
You can find update instructions [here](https://github.com/IonMich/instructor_pilot/wiki/Update-instructions).