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The task is to develop a machine learning model and web app based on Django that can predict the selling price of cars based on various factors such as make, model, year, mileage, condition, and location. The model will be trained on a dataset of historical car sales data and will provide insight and predictions for future car sales.

Vaishnokmr/Predicting-car-sell-price-using-Django

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Predicting-car-sell-price-using-Django

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Demo

https://car-selling-price-django.onrender.com

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Select your car which one you want to buy and for exchange , sell your old car

Fill all the necessary requirements as per your car specification and details and get your selling price of your car

Overview

This is a Django web app which predicts your car selling price.

Motivation

What to do when you are at home due to this pandemic situation? I started to learn Machine Learning model to get most out of it. I came to know mathematics behind all supervised models. Finally it is important to work on application (real world application) to actually make a difference.

Installation

The Code is written in Python 3.9, If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

Deployement on Heroku

Login or signup in order to create virtual app. You can either connect your github profile or download ctl to manually deploy this project.

Our next step would be to follow the instruction given on Heroku Documentation to deploy a web app.

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Bug / Feature Request

If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result

Future Scope

  • Use multiple Algorithms
  • Optimize Django manage.py
  • Front-End

About

The task is to develop a machine learning model and web app based on Django that can predict the selling price of cars based on various factors such as make, model, year, mileage, condition, and location. The model will be trained on a dataset of historical car sales data and will provide insight and predictions for future car sales.

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