canvasAcademicAnalyzer 0.1.0

An example package

Canvas Academic Insights

This package retrieves grade data from Canvas and provides visualizations and AI feedback.

Description

Canvas Academic Insights is a Python package designed for comprehensive analysis and visualizations of academic performance metrics obtained from UBC's Canvas website via an API token. This package cleans and organizes raw data safely and generates multiple visual representations of academic performance across courses and over time. This package also provides AI-generated feedback, providing high-level interpretations of grade trends and constructing a weekly study plan for the student.

Getting Started

Dependencies

• canvasapi
• numpy
• matplotlib
• ollama

Executing Program

Start the Ollama service for AI feedback; otherwise, AI feedback might be unavailable. Get your Canvas URL and token from UBC's website and enter them when prompted. There will be a prompt to obtain either AI feedback or a visualization of a course from this package; either enter ai or visual. If ai is entered, then an AI-generated summary of academic performance will be provided. If visual is selected, an additional prompt for a specific course index will be asked, which starts from 0 and ends at $n-1$, with $n$ being the number of courses obtained from the API. Once entered, visuals for overall academic performance will be produced, as well as course-specific visuals for the course index used.

Authors

Yue Wang
Richard Hua
Jordan Kaseram

Version History

• 0.1
  • Initial Release