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+# 📰 Fake or Real News Classifier Using FastText
+
+[![Python](https://img.shields.io/badge/Python-3.10%2B-blue?logo=python)](https://www.python.org/)  
+[![FastText](https://img.shields.io/badge/Model-FastText-orange?logo=fasttext)](https://fasttext.cc/)  
+[![Hugging Face](https://img.shields.io/badge/HF-Repository-purple?logo=huggingface)](https://huggingface.co/vikasgautam2003/Text_Classification_Using_FastText)
+
+> ⚡ A **text classification project** that classifies news as **Fake or Real** using **FastText**.  
+
+---
+
+## 🚀 Features
+✅ Train and test a FastText classifier  
+✅ Support for CSV datasets  
+✅ Preprocessing and simple text tokenization  
+✅ Save/load trained FastText model  
+✅ Ready for deployment or further experimentation  
+
+---
+
+## 🛠️ Tech Stack
+- **Model** → FastText  
+- **Language** → Python 3.10+  
+- **Libraries** → pandas, fasttext  
+- **Dataset** → Custom CSV dataset (`ecommerce_dataset.csv`)  
+
+---
+
+## 📂 Project Structure
+```bash
+├── .ipynb_checkpoints/           # Jupyter notebook checkpoints
+├── TextClassification.ipynb       # Main notebook
+├── TextClassificationPart2.ipynb  # Extended analysis notebook
+├── requirements.txt               # Python dependencies
+├── .gitattributes                 # Git LFS configuration
+├── ecommerce.train                # Training dataset (LFS)
+├── ecommerce.test                 # Test dataset (LFS)
+├── ecommerce_dataset.csv          # Full dataset (LFS)
+└── README.md                      # Project documentation
+
+
+⚙️ Setup Instructions
+1️⃣ Install Dependencies
+pip install -r requirements.txt
+
+2️⃣ Run Training / Evaluation
+
+Open the Jupyter notebooks:
+
+jupyter notebook TextClassification.ipynb
+jupyter notebook TextClassificationPart2.ipynb
+
+
+Make sure to have datasets available locally (ecommerce.train, ecommerce.test, ecommerce_dataset.csv) or tracked via Git LFS.
+
+🎯 Use Cases
+
+Detect fake news in real-time applications
+
+Build NLP portfolio projects
+
+Experiment with FastText embeddings and text classification
+
+💡 Future Improvements
+
+Add real-time API for classification
+
+Integrate with Hugging Face Datasets
+
+Hyperparameter tuning for better accuracy
+
+Add visualization dashboards for analysis
+
+👨‍💻 Author
+
+Vikas Gautam