MehdiAIO/Morocco-Delivery-Intelligence

AI-powered delivery ETA prediction system using Decision Trees and real-world features. # 🚚 Morocco Delivery Intelligence An AI-powered delivery system that predicts **Estimated Time of Arrival (ETA)** and determines whether a delivery will arrive **on time or late**, using machine learning. --- ## 📌 Project Overview This application simulates a real-world delivery system in Morocco. It allows users to: - Select a **warehouse city** and a **delivery destination** - Predict the **ETA (Estimated Time of Arrival)** - Determine whether the delivery will be **On Time or Late** - Visualize the **delivery route on an interactive map** --- ## 🧠 Machine Learning The system uses: - **Decision Tree Model** for prediction - Classification: - ✅ On Time - ❌ Late - Regression for ETA prediction ### Features used: - Distance between cities - Vehicule type - Traffic level - Weather conditions - Product weight --- ## 🗺️ Features - 📍 Interactive map with delivery route (Folium) - ⏱ ETA calculation - 📊 On-time vs Late prediction - 🧠 Machine Learning integration - 🌍 Morocco cities dataset --- ## 🛠️ Tech Stack - Python - Streamlit - Scikit-learn - Pandas - Folium --- ## 🚀 How to Run the App ```bash # Clone the repository git clone github.com # Navigate to the project folder cd Morocco-Delivery-Intelligence # Install dependencies pip install -r requirements.txt # Run the app streamlit run app.py