Update README.md

README.md

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-# JengaAI 
+# JengaNLP
 
 **Open-source ML training and inference framework for African AI.**
 
@@ -16,7 +16,7 @@ Train multi-task NLP, Speech, and Vision models with a single YAML config — no
 
 ## What We Build
 
-JengaAI is a framework that lets researchers, engineers, and non-technical teams train production-grade machine learning models on African language data — and deploy them without vendor lock-in, without API dependencies, and without sending sensitive data to foreign servers.
+JengaNLP is a framework that lets researchers, engineers, and non-technical teams train production-grade machine learning models on African language data — and deploy them without vendor lock-in, without API dependencies, and without sending sensitive data to foreign servers.
 
 > *Your model. Your data. Your task.*
 
@@ -91,11 +91,11 @@ python -m jenga_ai train --config swahili-hate-speech.yaml
 
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-## Why JengaAI Exists
+## Why JengaNLP Exists
 
 Africa's AI ecosystem is being built on API wrappers — products that call GPT-4 or Claude and rebrand the output as "African AI." These products are expensive at scale, dependent on foreign infrastructure, unable to handle African languages properly, and unable to keep sensitive data on the continent.
 
-JengaAI exists to make the alternative practical.
+JengaNLP exists to make the alternative practical.
 
 A locally trained, domain-adapted model:
 - Costs nothing at inference time after training
@@ -124,7 +124,7 @@ A locally trained, domain-adapted model:
 
 ## Responsible AI
 
-JengaAI is built with responsible AI development as a core principle, not an afterthought:
+JengaNLP is built with responsible AI development as a core principle, not an afterthought:
 
 - **Explainability** — every prediction can be explained in human-readable terms
 - **Audit trails** — hash-chained tamper-evident logging of all inference decisions
@@ -137,7 +137,7 @@ JengaAI is built with responsible AI development as a core principle, not an aft
 
 ## Community
 
-JengaAI is developed in the spirit of African AI communities doing the work right — [Data Science Africa](https://www.datascienceafrica.org/), [Masakhane](https://www.masakhane.io/), [Deep Learning Indaba](https://deeplearningindaba.com/), and [AIMS](https://nexteinstein.org/).
+JengaNLP is developed in the spirit of African AI communities doing the work right — [Data Science Africa](https://www.datascienceafrica.org/), [Masakhane](https://www.masakhane.io/), [Deep Learning Indaba](https://deeplearningindaba.com/), and [AIMS](https://nexteinstein.org/).
 
 We believe that building AI for Africa means building it on African data, in African languages, with African institutional contexts — not wrapping foreign models in local branding.
 
@@ -145,8 +145,8 @@ We believe that building AI for Africa means building it on African data, in Afr
 
 ## Links
 
-- 🐙 **GitHub**: [github.com/Rogendo/JengaAI](https://github.com/Rogendo/JengaAI)
-- 📦 **Framework**: `pip install jenga-ai`
+- 🐙 **GitHub**: [github.com/Rogendo/JengaNLP](https://github.com/Rogendo/JengaNLP)
+- 📦 **Framework**: `pip install jenga-nlp`
 - 📄 **Docs**: Coming soon
 - 🤝 **Contribute**: Open to contributors — researchers, engineers, domain experts, annotators