Saramohamed445/Egypt-Real-Estate

# Egypt Real Estate Appraiser 🏠 **AI-powered real estate price prediction system for the Egyptian market** A production-ready machine learning application that predicts property prices using advanced regression models trained on 16,000+ Egyptian real estate listings. --- ## 🎯 Project Overview This graduation project delivers a complete ML pipeline for real estate price estimation in Egypt, featuring: - **Data-driven preprocessing**: Intelligent handling of semi-structured real estate data - **Feature engineering**: Location grouping, price normalization, size categorization - **Multiple ML models**: Linear, Ridge, Random Forest, Gradient Boosting, XGBoost - **Hyperparameter tuning**: GridSearchCV for optimal model performance - **Interactive web app**: Streamlit interface for instant price predictions - **Production quality**: Full pipeline with validation, error handling, and logging --- ## 📊 Dataset Characteristics ### Data Source - **File**: `data/egypt_real_estate_listings.csv` - **Records**: ~16,000 properties - **Features**: 7 raw columns ### Key Columns - `price`: Target variable (EGP) - property price in Egyptian Pounds - `size`: Area extracted as `size_sqm` (square meters) - `bedrooms`: Number of bedrooms (formatted as "3", "7+", "3+ Maid") - `bathrooms`: Number of bathrooms - `location`: Geographic location of property - `type`: Property category (Apartment, Villa, Duplex, etc.) - `payment_method`: Payment type (Cash or Installment) ### Data Challenges & Solutions | Challenge | Solution | |-----------|----------| | Mixed character formats in bedrooms ("7+", "3+ Maid") | Regex extraction of leading number | | Size formatted as text with units | Extraction of numeric value after "/" | | High location cardinality (500+ unique values) | Intelligent grouping into 6 regions | | Missing values in bathrooms/bedrooms | Median/mode imputation | | 5% of price/size outliers | IQR-based removal | | Duplicates in dataset | Exact match deduplication | --- ## …