🚗 Cars Price Prediction App (2025 Dataset)

This is a Machine Learning + Streamlit based web application that predicts the price of a car using the latest 2025 cars dataset.
Users simply input the car specifications such as engine size, horsepower, top speed, fuel type, and other features, and the app instantly predicts the car price.

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📌 Features

• Trained on 2025 Cars Dataset for modern and relevant predictions
• Random Forest Regressor for high accuracy
• Automatic encoding for categorical features like Fuel Type
• Simple, clean, and responsive Streamlit UI
• Ready for local use and online deployment

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🛠 Tech Stack

• Python 3.10
• Pandas, NumPy
• Scikit-learn
• Streamlit

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📂 Project Structure

├── app.py                # Frontend Streamlit code
├── backend.py            # Backend training & prediction logic
├── cars_dataset_2025.csv # Training dataset
├── car_price_model.pkl   # Trained ML model
├── label_encoders.pkl    # Encoders for categorical features
└── requirements.txt      # Dependencies list

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🚀 How to Run Locally

1️⃣ Clone the repository:

git clone https://github.com/FarazhussainAI250/cars-price-prediction.git
cd cars-price-prediction

2️⃣ Install dependencies:

pip install -r requirements.txt

3️⃣ Run the Streamlit app:

streamlit run app.py

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