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Welcome to the "Car Price Predictor" project! This machine learning model predicts car prices based on various parameters. It's more than just a price prediction; it's your personalized car shopping guide.

Home Page: https://car-price-predictor-anwh.onrender.com/

Python 17.41% CSS 2.19% HTML 80.40%
car-price-predictor data-science linear-regression machine-learning

car-price-predictor-1's Introduction

Car Price Predictor

Live Demo GitHub Repository GitHub License

Python Linear Regression Flask Render

Welcome to the "Car Price Predictor" project! This machine learning model predicts car prices based on various parameters. It's more than just a price prediction; it's your personalized car shopping guide.

About This Project

The "Car Price Predictor" is designed to provide accurate car price predictions based on parameters like company, model, year of purchase, fuel type, and kilometers driven. It uses the Linear Regression algorithm to make predictions and is deployed as a web app using Flask, hosted on the Render cloud platform for easy access.

Preview of Project

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Explore the Project

Live Demo

Features

  • Car Price Prediction: Get accurate price predictions for cars based on various parameters.

  • Linear Regression Algorithm: The model uses Linear Regression, known for its effectiveness in regression tasks.

  • User-Friendly Interface: The web app is powered by Flask, offering an intuitive and interactive user experience.

  • Cloud Deployment: Hosted on Render, providing cloud-based accessibility.

Technologies Used

This project leverages the following technologies:

  • Python: The primary programming language for building and deploying the car price prediction model.

  • Linear Regression Algorithm: The machine learning algorithm used for accurate price predictions.

  • Flask: The web framework used to create the user-friendly interface.

  • Render: The cloud platform used for deploying the web app.

Installation

To run this project locally, follow these steps:

  1. Clone the repository to your local machine using this command:

    git clone https://github.com/rajatrawal/car-price-predictor-1.git
  2. Navigate to the project directory:

    cd car-price-predictor-1
  3. Install the required Python libraries:

    pip install -r requirements.txt
  4. Run the Flask app locally:

    python app.py
  5. Open your web browser and go to http://localhost:5000 to access the Car Price Predictor.

Usage

To get car price predictions:

  • Visit the Live Demo and use the user-friendly interface to input car parameters and get price predictions.

  • Input the car company, model, year of purchase, fuel type, and kilometers driven.

License

This project is licensed under the MIT License. For details, see the LICENSE file.

Find Your Perfect Car

Explore the "Car Price Predictor" and make informed decisions when shopping for cars. Get accurate price predictions and find the perfect car to suit your needs. Visit the Live Demo and enjoy your car shopping journey.

Contribute

If you'd like to contribute to this project or have suggestions for improvement, please feel free to submit issues or pull requests on GitHub.

Thank you for exploring the "Car Price Predictor"! We hope it simplifies your car shopping experience.

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