| # 📖 LLM Compatibility Advisor — User Growth & Documentation Plan | |
| ## 📖 Overview | |
| This document outlines the strategy for expanding the user base of the **LLM Compatibility Advisor**, continuously improving its functionality, and maintaining transparent project documentation for contributors, students, and AI communities. It will also serve as a living changelog and roadmap. | |
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| ## 📅 Weekly/Monthly Actionables | |
| - **Week 1-3:** | |
| Literature review, finalize objectives, build initial app prototype, deploy to Hugging Face Spaces. | |
| - **Week 4-5:** | |
| Collect feedback from early users, conduct AI readiness surveys, integrate performance tier adjustments. | |
| - **Week 6:** | |
| Finalize project documentation, references, publish contribution guide and deployment tutorial. | |
| - **Every Month (Post-release):** | |
| - Review compatibility tiers against new model releases (Gemma, Mistral, TinyLLaMA variants). | |
| - Integrate new quantized model recommendations. | |
| - Archive older device datasets and refresh with latest submissions. | |
| - Track community feedback and feature requests. | |
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| ## 📢 Outreach Channels | |
| - Hugging Face Community Hub | |
| - AI Saturdays India and Global Chapters | |
| - Student AI club Discord servers | |
| - LinkedIn AI student groups | |
| - Swecha, PyCon India, and AI open-source events | |
| - Open-source AI tool directories (awesome-LLM-tools, AI Community repos) | |
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| ## 📑 Contribution Guide Link | |
| **How to contribute:** | |
| 👉 https://huggingface.co/spaces/Suryansh14124/LLM-Advisor-ICFAI/wiki/Contributing | |
| Includes: | |
| - Forking instructions | |
| - Branching conventions | |
| - Code style guide | |
| - Issue reporting protocol | |
| - How to add new LLM entries to the compatibility matrix | |
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| ## 🔄 Update Cycle Plan | |
| - **LLM Compatibility Matrix:** | |
| Review and update every 3 months with latest open-source quantized models and GGUF variants. | |
| - **Documentation Updates:** | |
| Revise tutorials, contribution guides, and changelogs with each major release. | |
| - **Regional Survey Campaigns:** | |
| Conduct annual or biannual hardware capability surveys via AI clubs and educational networks. | |
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| > 📌 This document will be updated quarterly alongside model updates and major community onboarding milestones. | |