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---
title: README
emoji: 👁
colorFrom: pink
colorTo: indigo
sdk: gradio
pinned: false
sdk_version: 5.35.0
---

# fauxNeuz

**fauxNeuz** is a research-driven organization focused on developing intelligent and explainable machine learning solutions for detecting fake news on the internet. Our work combines state-of-the-art transformers, multimodal analysis, and human-centric evaluations to tackle misinformation in text and images.

---

##  Focus Areas
- **Fake News Detection** (text + image)
- **Transformer Model Ensembles**
- **Explainable AI for Social Good**
- **Ethical AI & Bias Mitigation**

---

## 📦 Repositories

| Name | Type | Description |
|------|------|-------------|
| [`BertAndDeberta + ViT`](https://huggingface.co/fauxNeuz/BertAndDeberta) | Model | Transformer ensemble (BERT & DeBERTa + ViT) for fake news classification |
| [`fauxnews-training`](https://huggingface.co/fauxNeuz/BertAndDeberta/tree/main/Training%20Code) | Code | Codebase and notebooks used for training all fauxNeuz models |

---

<!-- ##  Publications & Projects

> on the wrk

- **"Vision-Language Transformers for Fake Content Detection"**, 2025 (under review)
 -->
 
⚠️ Disclaimer

    This project is intended for educational and experimental purposes only.
    It is not intended for commercial deployment, moderation in production environments, or critical decision-making.
    Detection may not be 100% accurate. The model may produce false positives or false negatives
---

##  Join or Collaborate

We’re open to research collaborations, reproducibility partnerships, and open-source contributions. Reach out through Hugging Face or GitHub if you’re interested.

---

##  Maintainers

- [KaisexX](https://huggingface.co/kaisex) – Lead Researcher, ml :3
- [SAP14](https://huggingface.co/14SAP) - Team Leader
- [Ganya1013](https://huggingface.co/Ganya1013) - Model Analyst,Research Contributor
- [Abhi-23](https://huggingface.co/Abhi-23) - Model Analyst,Research Contibutor
## ⚖ License

All models and code are released under the MIT license unless stated otherwise.

---


amen