Welcome to the Car Price Prediction System, a machine learning application designed to predict car prices based on various features. This project utilizes Streamlit for the frontend and is hosted live here.

• Introduction
• Features
• Installation
• Usage
• Demo
• License

This project aims to help users predict the price of a car based on input features such as the make, model, year, mileage, and more. It leverages machine learning techniques to provide accurate price predictions.

• Predict car prices based on various input features.
• User-friendly interface built with Streamlit.
• Real-time predictions with interactive input fields.
• Hosted as a web application for easy access.

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/car-price-prediction.git
   cd car-price-prediction
   

2. Install the required packages:

pip install -r requirements.txt

3. Run the Streamlit application:

streamlit run car_price_prediction.py

1. Open the web application in your browser.
2. Enter the required car details into the input fields.
3. Click the 'Predict' button to get the estimated car price.

You can access the live demo of the Car Price Prediction System here

This project is licensed under the GNU General Public License v2.0 License. See the LICENSE file for more details.