Add initial site configuration and content for phishing detection model (#12)

gitpage/.gitignore

@@ -0,0 +1,5 @@
+_site/
+.sass-cache/
+.jekyll-cache/
+.jekyll-metadata
+Gemfile.lock

gitpage/_config.yml

@@ -0,0 +1,9 @@
+title: Phishing Detection Model
+description: Machine learning model performance and metrics for phishing URL detection
+theme: jekyll-theme-minimal
+show_downloads: false
+
+# GitHub repository info (update if needed)
+github:
+  repository_url: https://github.com/yourusername/ID2223-project
+  is_project_page: true

gitpage/index.md

@@ -0,0 +1,48 @@
+---
+layout: default
+---
+
+# Phishing Detection Model Performance
+
+## Overview
+
+This project develops a machine learning model for detecting phishing URLs using URLScan.io API data.
+
+## Model Performance Over Time
+
+### Performance Metrics
+
+Track how the model's performance evolves over time to identify improvements or degradation.
+
+![Performance Over Time](images/performance_over_time.png)
+
+### Confusion Matrix
+
+Latest model confusion matrix showing prediction accuracy across classes.
+
+![Confusion Matrix](images/confusion_matrix.png)
+
+### Feature Drift Detection
+
+Monitor feature drift to detect changes in data distribution that may affect model performance.
+
+![Feature Drift](images/feature_drift.png)
+
+## Dataset Information
+
+- **Source**: URLScan.io API + Phishing URL datasets
+- **Training samples**: TBD
+- **Test samples**: TBD
+- **Features**: TBD
+
+## Model Architecture
+
+Details about the model architecture, feature engineering, and training process will be documented here.
+
+## Latest Updates
+
+Check back for updates on model performance and improvements.
+
+---
+
+_Last updated: {{ site.time | date: "%Y-%m-%d" }}_