Upload README.md

README.md

@@ -1,7 +1,14 @@
 ---
-tags:
-- ml-intern
+title: Network Intrusion Detection System
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 4.0.0
+app_file: app.py
+pinned: false
+license: mit
 ---
+
 # 🛡️ Network Intrusion Detection System (NIDS)
 
 Real-time network intrusion detection using ML & Deep Learning models trained on the NSL-KDD dataset.
@@ -17,7 +24,7 @@ Real-time network intrusion detection using ML & Deep Learning models trained on
 ## Dataset
 [NSL-KDD](https://huggingface.co/datasets/Mireu-Lab/NSL-KDD) — 185K records, 41 features, binary classification (normal/anomaly)
 
-## Deployment
+## Usage
 
 ### REST API (FastAPI)
 ```bash
@@ -51,13 +58,15 @@ curl -X POST http://localhost:8000/predict \
 | RandomForest | 73.10% | 73.05% | 95.34% | Supervised |
 | MLP | 73.28% | 73.21% | 89.33% | Supervised |
 | Autoencoder | 71.84% | 71.34% | 73.60% | Unsupervised |
+| LSTM | 70.65% | 70.58% | 87.80% | Unsupervised |
+| Transformer | 57.94% | 57.26% | 80.29% | Supervised |
+| IsolationForest | 56.55% | 55.96% | 65.24% | Unsupervised |
 
 ## Project Structure
 ```
 nids_project/
 ├── api.py           # FastAPI REST API
-├── app.py           # Gradio web UI
-├── space_app.py     # HF Spaces app
+├── app.py           # Gradio web UI (this Space)
 ├── data_loader.py   # Dataset loading
 ├── ml_models.py     # ML implementations
 ├── dl_models.py     # DL implementations