🚚 Smart Food Delivery Time Prediction

A Machine Learning based web application that predicts food delivery time using delivery partner details, order type, vehicle type, weather, and distance.

---

🚀 Live Demo

🔗 Try the App Here

---

📌 Project Overview

Food delivery platforms often provide inaccurate estimated delivery times.
This project uses Machine Learning to predict more accurate delivery time in minutes.

---

🎯 Features

✅ Predict delivery time instantly
✅ User-friendly web interface
✅ Machine Learning powered prediction
✅ Built using Python and Streamlit
✅ Professional dashboard UI

---

🛠 Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• XGBoost
• Streamlit
• Matplotlib
• Seaborn
• Plotly

---

📂 Project Structure

Food_Delivery_Project/

│── app.py
│── train.py
│── Dataset.csv
│── model.pkl
│── scaler.pkl
│── requirements.txt
│── README.md
│── venv/

---

⚙ Installation

1. Clone Project

git clone YOUR_GITHUB_LINK

cd Food_Delivery_Project

2. Create Virtual Environment

python -m venv venv

venv\Scripts\activate

3. Install Requirements

pip install -r requirements.txt

---

▶ Run Application

streamlit run app.py

Then open in browser:

http://localhost:8501

---

📊 Model Performance

• MAE: 5.84 Minutes
• RMSE: 7.44 Minutes
• R² Score: 0.37

---

📌 Input Features

• Delivery Partner Age
• Delivery Rating
• Distance
• Weather
• Order Type
• Vehicle Type

---

📈 Future Improvements

• Live Traffic API
• Google Maps Integration
• Weather API
• Deep Learning Models
• Mobile App Version

---

👨‍💻 Developed By

Prince Atul

---

⭐ If You Like This Project

Give it a star on GitHub.