Update README.md

Author: Sowaiba-01

README.md

@@ -2,11 +2,6 @@
 
 **AI reliability & observability toolkit** — monitor, evaluate, explain, and protect machine-learning models with a single, consistent Python API.
 
-[![CI](https://github.com/sowaiba/modelsentinel/actions/workflows/ci.yml/badge.svg)](https://github.com/sowaiba/modelsentinel/actions/workflows/ci.yml)
-![Python](https://img.shields.io/badge/python-3.9%2B-blue)
-![License](https://img.shields.io/badge/license-MIT-green)
-![Status](https://img.shields.io/badge/status-beta-orange)
-
 Shipping a model is easy. Knowing whether it is still trustworthy in production is not. ModelSentinel answers the questions that come *after* `model.predict()`:
 
 - Is my model still accurate, or is performance quietly degrading?
@@ -133,9 +128,6 @@ The detector stays above 99% accuracy on **both** a held-out test split and a se
 with a different swap method (`inswapper_128`) — evidence it generalizes across
 generation techniques, not just to its training distribution.
 
-## Contributing
-
-Contributions are welcome — see [CONTRIBUTING.md](CONTRIBUTING.md) and our [Code of Conduct](CODE_OF_CONDUCT.md). Security issues: see [SECURITY.md](SECURITY.md).
 
 ## License