Empower Educators with Open-Access AI
0% complete
$632 raised of
5 donations
Open Access AI for Education: Teach Anything, https://www.teachanything.ai/
Support Teach Anything, an open-source, open-access, multilingual AI infrastructure built by educators for educators. Using our open-access platform, educators without technical knowledge can build and deploy custom-trained chatbots for teaching, fully controlling the training data and AI's behaviors to align with educational goals.
Teach Anything is a registered 501(c)(3) non-profit organization. Donations are tax-deductible. Our organization is incorporated in Washington, D.C., in the U.S.A.
Donors have front-row seats
Donate to support this open-access project to become beta-testers, be the first to learn of new features, and stay in the loop. All donations go towards the project's cloud computing costs ($150-300 per month).
Vision for Open Access
Professors can upload their lectures and course material, write background system prompts, and to train custom, open access AI chatbots for their students. Professors can choose from among several open-source large language models (LLM).
Students can use the intuitive AI assistant without needing to login or wrestle with misinformation that is prevalent in commercial general-purpose AI and even Internet searches.
Backed by peer review and rigorous research, Teach Anything is an open-access system specifically designed for teaching and learning. The innovation of this project lies in its infrastructure. This is not one application but an open-access platform that supports numerous applications.
Comparison between Open-Access & Commercial AI
This open-access vs commercial AI
Funding History
Currently, this open-access project relies on donation and its community of forward thinkers and passionate students.
The project’s earlier phase was supported by George Mason University, Washington Research Library Consortium, Public Interest Technology Scholar program, the NSF Institute for Trustworthy AI in Law & Society, and George Washington University.
Cost Breakdown
$40, hourly wage for graduate student developer, ongoing
$185 per month for cloud computing:
- Supabase, open-source backend service, $ 30 / month
- Vercel, cloud platform for web interface, $ 30 / month
- OpenRouter, inference service for multiple open-source LLMs, $ 50 / month
- Resend, email service platform for communication, $ 20 / month
- Upstash Redis to store & analyze files uploaded by professors, $ 30 / month
- OpenAI to index uploaded files, $10 / month
- Upstash Qstash to handle calls to open-source LLMs and “chat” functionality, $ 15/ month
More info
Dr. Alexa Alice Joubin's demo of AI Alexa at the Summit for AI Institutes Leadership 2025
Dr. Alexa Alice Joubin TED-style talk on open culture and AI
Organizer
