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README.md

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+# 📚 Fake News Detector
+
+**Detects Fake News using an ensemble of 3 Models (Naive Bayes, Logistic Regression, and GloVe-based embeddings)**
+
+---
+
+## 🚨 Important Disclaimer
+
+> ⚠️ This project is built purely for **educational and experimental purposes** to explore basic Natural Language Processing (NLP) and Machine Learning (ML) techniques.  
+> 
+> ❗ It is **not suitable for real-world fact-checking or decision-making**.  
+> 
+> The models used are simple, non-contextual, and cannot understand language nuances or factual correctness. Misusing this tool for serious analysis may lead to incorrect or harmful conclusions.  
+>
+> **Please do not trust or rely on the outputs of this demo.** It is meant for **learning only.**
+
 ---
-title: Fake News Detector
-emoji: 📚
-colorFrom: purple
-colorTo: blue
-sdk: gradio
-sdk_version: 5.33.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: 'Detects Fake News using the ensemble of 3 Models '
+
+## 🎯 Purpose
+
+This project was created as a part of our research internship as a way to:
+- Practice building an ensemble model using different NLP approaches
+- Learn to deploy ML apps with Gradio and Hugging Face Spaces
+- Experiment with basic text classification on news headlines/articles
+
+It is **not** a robust or reliable system for determining truth or accuracy in media.  
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## ⚙️ How It Works
+
+This Fake News Detector uses an ensemble of 3 models:
+
+1. **Naive Bayes with TF-IDF** – assigns 55% weight  
+2. **Logistic Regression** – assigns 10% weight  
+3. **GloVe Embedding-Based Classifier** – assigns 35% weight
+
+Each model contributes a score between 0 and 1 indicating the likelihood of the input text being "Real." The final prediction is based on a weighted average.
+
+---
+
+## 📄 License & Attribution
+
+- This project is licensed under the [MIT License](LICENSE)
+- GloVe embeddings are from [Stanford NLP](https://nlp.stanford.edu/projects/glove/)
+- This project uses [Gradio](https://gradio.app) for interface deployment
+  
+## 📦 Installation
+
+```bash
+pip install -r requirements.txt
+python app.py
+