You will get Canvas Course Shell Generator (AI + Canvas API)


Project details
Built a Python-based AI tool that helps learning designers create ready-to-use course storyboards for Canvas. The application uses Streamlit to collect required course details and instructional inputs, then leverages Groq AI to generate a structured text-based storyboard (.txt) aligned with Canvas course requirements. The generated storyboard serves as a clear, reusable foundation for building Canvas courses, significantly reducing planning time and ensuring consistency across institutional course designs.
AI Algorithms
Large Language ModelAI Applications
AI Content CreationAI Development Language
PythonAI Tools
StreamlitAI Models
ChatGPT, GPT-3What's included $400
These options are included with the project scope.
$400
- Delivery Time 1 day
- Number of Revisions 0
- Model Tuning
- Source Code
About Rhema
eLearning Developer | WordPress Developer | Software Engineer
Cape Town, South Africa - 8:06 pm local time
Steps for completing your project
After purchasing the project, send requirements so Rhema can start the project.
Delivery time starts when Rhema receives requirements from you.
Rhema works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & access
I review your storyboard/course outline, confirm the number of modules and the content types you need (pages, quizzes, assignments, discussions), and confirm whether I’m building directly in Canvas or delivering a reusable structure/template.
Structure planning
I map your storyboard into a clear course structure (modules → lessons/pages → assessments) and apply your naming conventions or institutional standards.