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User Growth & Documentation Plan.md

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+# 📖 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.
+
+---
+
+## 📅 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.
+
+---
+
+## 📢 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)
+
+---
+
+## 📑 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
+
+---
+
+## 🔄 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.
+
+---
+
+> 📌 This document will be updated quarterly alongside model updates and major community onboarding milestones.