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README.md

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-title: README
 emoji: 🔥
 colorFrom: gray
 colorTo: indigo
 sdk: static
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+title: "DSTI — Machine Learning & AI Community"
+type: "organization"
+tags:
+  - community
+  - education
+  - machine-learning
+  - deep-learning
+  - nlp
+  - computer-vision
+  - generative-ai
+  - open-source
+  - teaching
+  - research
+library_name:
+  - transformers
+  - diffusers
+  - datasets
+  - peft
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+# DSTI — Machine Learning & AI Community
+
+**DSTI** is a university community focused on teaching, researching, and building with **Machine Learning** and **AI**.  
+We share open-source models, datasets, and learning resources across **NLP**, **Computer Vision**, and **Generative AI**, with a strong emphasis on **reproducibility** and **knowledge sharing**.
+
+> **Interests:** Deep Learning (NLP & CV), Open Source, Reproducible Research, Knowledge Sharing, MLOps, Responsible AI.
+
+---
+
+## 🎯 Mission & Values
+
+- **Educate**: Provide hands-on, industry-relevant ML/AI education.
+- **Open**: Build in the open—code, weights, datasets, and docs.
+- **Reproduce**: Promote rigorous, repeatable experiments and clear reporting.
+- **Uplift**: Help students and practitioners learn, contribute, and grow together.
+
+---
+
+## 🧭 Focus Areas
+
+- **NLP**: instruction-tuned LMs, evaluation, tokenization, prompt design.
+- **Computer Vision**: image classification, detection, segmentation, multimodal.
+- **Generative AI**: diffusion models, LLM fine-tuning/LoRA, evaluation.
+- **MLOps & Tooling**: training recipes, experiment tracking, deployment tips.
+- **Responsible AI**: bias, safety, documentation, and model cards.
+
+---
+
+## 📦 What You’ll Find Here
+
+- **Models**: Student projects, course baselines, research prototypes.
+- **Datasets**: Curated, class-safe datasets with clear licenses and splits.
+- **Spaces**: Demos, teaching assistants, benchmarking dashboards.
+- **Learning Resources**: Labs, notebooks, reading lists, and cheatsheets.
+
+> All repos aim to include a **README/model card**, **license**, **training details**, and **repro steps**.
+
+