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Used Cars Price Prediction

Overview

This project is a comprehensive car sales website built using Django, a high-level Python web framework. The website facilitates buying and selling of used cars, along with a unique feature of predicting car prices using linear regression based on their details. The user interface is designed with HTML and CSS to provide a seamless and visually appealing experience.

Car Sales Website Demo

Features

  • Car Listing: Browse through a wide range of used cars available for sale.
  • Price Prediction: Predict the price of a car based on its details using linear regression.
  • Car Details Upload: Allow users to upload their car details for selling purposes.
  • User Authentication: Secure user authentication system for account creation and login.
  • Sleek UI: Modern and intuitive user interface design using HTML and CSS.

Installation

To run this car sales website locally, follow these steps:

  1. Clone this repository to your local machine:

    git clone https://github.com/Nikhilsuresh11/Carsales.git
    
  2. Navigate to the project directory:

    cd Carsales
    
  3. Install the required dependencies:

    pip install -r requirements.txt
    
  4. Apply migrations to set up the database:

    python manage.py migrate
    
  5. Create a superuser account for accessing the Django admin panel:

    python manage.py createsuperuser
    
  6. Start the Django development server:

    python manage.py runserver
    

Once the server runs, open your web browser and navigate to http:https://localhost:8000 to access the car sales website.

Usage

  • Buying Cars: Browse the available car listings, view details, and contact sellers.
  • Price Prediction: Use the price prediction feature to estimate the price of a car based on its specifications.
  • Selling Cars: Upload your car details along with images for listing it for sale.

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Django project for used car price prediction

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