Browser-based AI/ML demos for students, faculty & practitioners

Kateel Learning Demos

A curated GitHub Pages learning platform for demos, course packs, and classroom-ready walkthroughs. Start with About, launch only when the run mode fits, and use GitHub for the deeper library.

99 curated demos 8 course packs No API keys 3 run-mode families
99
Curated public demos
8
Course packs
0
API keys required
1
Run-mode families

Better organization

Choose the right entry path

The public site is now being organized into clear surfaces so students do not have to infer structure from the raw repo.

Browse Demos

Cross-course discovery with filters for course, level, and run mode. Best when you want to find the right demo quickly.

Course Packs

Teaching journeys that connect course pages, demo sequences, assignments, and supporting course-catalog materials.

Repo Library

Use GitHub for the full inventory, including local-only, partial, legacy, and supporting files that are not all public-first surfaces.

New navigation model

About Demo is separate from the actual demo

This distinction helps students understand the concept before experimenting and helps faculty assign consistent reflection work.

1 About Demo

Learning objectives, concepts, usage steps, faculty prompts, and rating.

2 Launch Demo

Open the actual interactive app in a clean environment.

3 Reflect

Explain insight, limitation, and action recommendation.

Course catalog

Course packs remain the teaching backbone

Each course page now acts as a course pack inside the broader Pages UX: Home → Course Pack → About Demo → Launch Demo.

Faculty quick start

Make the demos highly used in class

Before class

  1. Pick one course path.
  2. Select 2-3 demos aligned to the session outcome.
  3. Open the About Demo pages and copy the faculty prompt.

During class

  1. Read the objective together.
  2. Launch the actual demo.
  3. Ask students to toggle AI or change a scenario.

After class

  1. Collect one insight and one limitation.
  2. Ask students to rate the About Demo page.
  3. Notify usage to vinallcontact@gmail.com.

Attribution & impact tracking

Created by Professor Vinaya Sathyanarayana. Attribution email: vinallcontact@gmail.com. Google Analytics is enabled for Pages usage tracking; localStorage ratings stay local to each browser.