🌍 LLM Compatibility Advisor — Geographical Expansion Plan
📖 Overview
This page outlines the phased strategy for expanding the reach of the LLM Compatibility Advisor beyond its initial deployment at ICFAI and BITS Pilani. The goal is to horizontally scale adoption among AI students, developer communities, and educational institutions both across India and internationally.
🎯 Target Regions
Year 1 Focus:
- BITS Pilani Hyderabad, Goa, and Dubai campuses
- IITs, NITs, IIITs, and state universities
- AI clubs and student developer groups in metropolitan regions
Global Student AI Groups:
- AI Saturdays Global
- MLC.ai communities
- Hugging Face community programs
- Student-run LLM enthusiasts clubs
📢 Promotion Methods
Announcements on:
- AI student Discord servers
- LinkedIn AI student and alumni groups
- AI community mailing lists
- Hackathons, conferences, and workshops (Swecha, PyCon India, AI Saturdays)
Submitting to:
- Open-source AI tools lists (awesome-LLM-tools, Hugging Face forums)
Hosting:
- Quantized LLM deployment webinars
- Device readiness demo sessions
📈 Onboarding Strategy
- Deploy demo video walkthroughs explaining compatibility checks
- Provide a public “Submit your Device Specs” web form for communities
- Duplicate and customize Hugging Face Spaces for individual institutions
- Publish analytics dashboards summarizing regional device capability insights
📊 Regional Insights
- Publish quarterly RAM distribution charts by institution and city
- Compare LLM deployability metrics (quantized model compatibility)
- Feature institutions on a public device readiness leaderboard (optional future scope)
📑 Contribution Workflow
Open-source repository available for forking and duplication
Contribution guidelines hosted at:
Developers can:
- Fork the project repository
- Deploy their own custom Space
- Submit pull requests for new compatibility tiers or models
- Add data insights or onboard new campuses through device surveys
Document maintained by Suryansh Singh,Rajesh Parikapalli,Ram Satish,Pranav Saipaladugu.