--- 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 | --- ⚠️ 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