I’ve been experimenting with an open-source project called OpenVidya, built as a fork of OpenMAIC.
The goal is to adapt multi-agent AI classroom generation for Indian education rather than treating learning as a generic slide/chat experience.
Repo: https://github.com/dpaul0501/OpenVidya
Current features:
- NCERT/CBSE-style knowledge grounding using structured JSON registries
- Concept dependency graphs for prerequisite-aware lessons
- Board-style questions with difficulty, traps, and explanations
- NCERT lab experiment registry with apparatus, objectives, and mistakes
- Five pedagogy modes:
- Teacher Narration
- Story Quest
- Exam Dojo
- Lab Without Walls
- Rapid Revision
- Mode-specific prompting across outline generation, slide generation, and runtime narration
The thesis is that an AI tutor for India should not just translate content. It should understand exam patterns, local examples, curriculum structure, and how students revise, practice, and get stuck.
I’m looking for critique on:
- Architecture: is this the right way to ground curriculum into lesson generation?
- Product: which user should I focus on first — students, teachers, coaching centers, or edtech builders?
- Evaluation: how would you measure whether this is actually better than a generic AI tutor?
- Dataset: what open Indian curriculum/question resources should be added?
- README/demo: what is unclear or missing?
Stars are appreciated if you think the direction is worth building, but I’m mainly looking for honest feedback from people who care about AI + education.
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