Car-Value-Prediction

Objective

The objective of this project is to calculate the resale value of a car based on various parameters such as year of purchase, type of owner, etc.

Live Demo

Car Value Prediction

Glimpse of the Web App

Installation

The Code is written in Python 3.7. 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

Directory Tree

├── static 
│   ├── style.css
├── templates
│   ├── index.html
├── CAR DETAILS FROM CAR DEKHO.csv
├── Car Price Prediction.ipynb
├── Procfile
├── README.md
├── app.py
├── car data.csv
├── carvaluepred.gif
├── model.pkl
├── requirements.txt

Dataset

The dataset is taken from kaggle. This dataset contains information about used cars listed on www.cardekho.com. The dataset link is given here.

Code

The code for the model, algorithms used and accuracy of the model can be found here.

Web App and Deployment

This project uses Flask for the web app and its deployment is done on Heroku.

Other Info

This project is a modified version of an older project on the same topic.The original project is available here.