Initial Commit

README.md

@@ -1,3 +1,23 @@
+---
+title: E-Commerce Fraud Detection
+emoji: 🛡️
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.28.1
+app_file: app.py
+pinned: false
+license: mit
+tags:
+- fraud-detection
+- machine-learning
+- streamlit
+- e-commerce
+- security
+datasets:
+- fraud-detection-dataset
+---
+
 # 🛡️ E-Commerce Fraud Detection System
 
 A Streamlit app for real-time e-commerce fraud detection using machine learning and explainable AI.
@@ -25,6 +45,41 @@ lightgbm_model.pkl
 customer_loc.pkl
 ```
 
+## ⚙️ Configuration
+
+### Hugging Face Space Configuration
+For optimal deployment on Hugging Face Spaces, ensure your repository includes:
+
+#### Space Metadata (README.md)
+```yaml
+---
+title: E-Commerce Fraud Detection
+emoji: 🛡️
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.28.1
+app_file: app.py
+pinned: false
+license: mit
+---
+```
+
+#### Space Configuration (README.md)
+Add this section to your README for better Space discovery:
+```yaml
+---
+tags:
+- fraud-detection
+- machine-learning
+- streamlit
+- e-commerce
+- security
+datasets:
+- fraud-detection-dataset
+---
+```
+
 ## 🧑‍💻 Local Development
 1. Install dependencies:
    ```bash
@@ -57,6 +112,12 @@ The app will be available at [http://localhost:8501](http://localhost:8501).
 
 > **Note:** For Docker-based Spaces, select the **Docker** SDK and ensure your Dockerfile is present in the repo.
 
+### Space Configuration Files
+- **app.py**: Main Streamlit application entry point
+- **requirements.txt**: Python dependencies
+- **Dockerfile**: For Docker-based deployment
+- **README.md**: Space metadata and documentation
+
 ## 📦 Requirements
 All dependencies are listed in `requirements.txt`.