🚗 Car Price Prediction AI

A simple Machine Learning project that predicts car prices based on their specifications such as engine size, horsepower, fuel type, and more.

This project uses Random Forest Regression for accurate price estimation and Streamlit for an interactive web interface.

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🧠 Features

• Predicts car price based on 20+ input features
• Built with Python, pandas, and scikit-learn
• Web interface powered by Streamlit
• Achieved 96% accuracy on test data

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🗂️ Project Files

File	Description
CarPrice_Assignment.csv	Dataset used for model training
train_model.py	Script to train and save the Random Forest model
car_model.pkl	The trained AI model
app.py	Streamlit web application for prediction
README.md	Project documentation

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🧩 How to Run Locally

1. Clone the repository

   git clone https://github.com/yourusername/car-price-prediction-ai.git
   cd car-price-prediction-ai
   pip install pandas scikit-learn streamlit
   python train_model.py
   streamlit run app.py
   

Author

Ali Emad (asgard) Email: aayth8700@gmail.com Instagram: @3.9.9.6