Update README.md

README.md

@@ -1,10 +1,34 @@
 ---
 title: README
-emoji: 📊
-colorFrom: gray
-colorTo: red
+emoji: 💻
+colorFrom: yellow
+colorTo: green
 sdk: static
 pinned: false
+license: apache-2.0
+short_description: Open-source NLP for Cameroonian languages
 ---
+# Cameroon AI Research Lab (C-NLP)
 
-Edit this `README.md` markdown file to author your organization card.
+Welcome to the official repository hub of the **Cameroon AI Research Lab**. We are an academic and community-driven research group dedicated to advancing Natural Language Processing (NLP), speech technology, and Artificial Intelligence resources for Cameroonian languages, West African Pidgin, and regional dialects.
+
+## 🎯 Our Mission
+* **Language Preservation:** Documenting and digitizing indigenous Cameroonian languages.
+* **Dataset Creation:** Building high-quality, open-source benchmarks for low-resource languages.
+* **Model Adaptation:** Fine-tuning small language models (SLMs) to make state-of-the-art AI efficient and accessible locally.
+* **Community Empowerment:** Creating accessible AI tools to bridge the digital language divide across Central and West Africa.
+
+## 📦 Key Projects
+* **Camspoken NLI:** The first foundational Natural Language Inference dataset optimized for Cameroonic languages and Pidgin variants.
+* **Localized Text-to-SQL:** Building benchmarks and models that translate Cameroonian languages and Pidgin queries into executable database scripts (SQL).
+
+## ⚖️ Open Source Licensing
+To maximize global collaboration, scientific progress, and commercial accessibility, the Cameroon AI Research Lab operates under an open-source framework:
+* Unless stated otherwise, all software code, scripts, model architectures, and core assets published by this organization are licensed under the **Apache License 2.0**.
+* Individual dataset file repositories may inherit this permissive Apache infrastructure or utilize data-specific permissive open licenses (like **CC-BY-4.0**) to ensure unrestricted community integration.
+
+## 🤝 Contact & Collaborate
+We welcome collaborations from computational linguists, machine learning engineers, students, and language enthusiasts.
+
+* **Email:** tiani@tianipekins.com
+* **Affiliation:** University of Buea