Mostafa-Hesham1/Vehicle-Souq
Domain:
socioeconomicRecord type:
modelproject
Creator:
Mos
Host:
AI-powered platform for Egypt's used car market featuring vehicle recognition (94.41% accuracy), price prediction (97% R²), and damage detection using DenseNet201, XGBoost, and YOLOv8. Published at IEEE IMSA 2025 Conference.
# 🚗 Vehicle Souq
### AI-Powered Car Recognition, Price Prediction & Damage Detection System
Click the image above to watch our full demo video
---
## 📌 Overview
Vehicle Souq is a comprehensive AI-powered platform designed to revolutionize Egypt's used car market. The system addresses critical challenges including price inconsistencies, lack of transparency, and difficulty in assessing vehicle condition.
### Key Capabilities
| Feature | Description | Accuracy |
|---------|-------------|----------|
| 🔍 **Vehicle Recognition** | Identify make, model, year, and body type from a single image | 94.41% |
| 💰 **Price Prediction** | Fair market valuations based on 23,421+ real listings | 97% (R²=0.97) |
| 🔧 **Damage Detection** | AI-powered assessment using YOLOv8/Mask R-CNN | mAP@50: 0.87 |
| 📊 **Market Analytics** | Data-driven insights for buyers, sellers, and analysts | Real-time |
### The Challenge
Egypt's used car market faces unique challenges:
- **Price Volatility** - Inflation and market instability create unpredictable pricing
- **Information Asymmetry** - Buyers lack expertise to evaluate vehicles accurately
- **Manual Valuation** - Traditional methods are time-consuming and inconsistent
- **Condition Assessment** - Difficulty in identifying and quantifying vehicle damage
### Our Solution
Vehicle Souq uniquely combines three AI systems:
1. **DenseNet201** for vehicle recognition (94.41% accuracy)
2. **XGBoost** for price prediction (97% accuracy, R² = 0.97)
3. **YOLOv8/Mask R-CNN** for damage detection and segmentation
---
## 🎓 Research & Publication
This project has been published and presented at the **2025 Intelligent Methods, Systems, and Applications (IMSA)** conference, held in Giza, Egypt.
**📄 Used Car Price Prediction and Classification Using Machine Learning Approaches**
**Authors:** M. Hesham, H. Ahmed, M. L. Borham
**Institution:** MSA University, Egypt
**DOI:** 10.1109/IMSA65733.2025.11167441
Certificate of Par …