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A flask based webapp to estimate the price of any used car

Home Page: https://car-price-predict-app.herokuapp.com/

License: MIT License

Python 36.67% HTML 57.18% Dockerfile 5.79% Procfile 0.36%
car-price-prediction webapp flask docker

used-car-price-prediction's Introduction

Used Car Price Prediction ๐ŸŽ๐Ÿš™โ›ฝ๏ธ Project Status: Active

A ML based Web application that helps in predicting the selling price of a used ๐Ÿš— ๐Ÿš™

Live Web-App available here.

Dataset

You can find the dataset here.

Installation:

Simply execute the command: pip install -r requirements.txt to install the necessary dependencies.

Usage:

  1. Clone this Repository to a directory and navigate to that directory.
  2. Run the command: python app.py
  3. This will run the web-app on localhost and would look something like this. Feel free to play around with the codes, add more features, beautify it. ๐Ÿ˜‰

ย 

Running the Dockerized App

  1. Ensure you have Docker Installed and Setup in your OS (Windows/Mac/Linux). For detailed Instructions, please refer this.
  2. Navigate to the folder where you have cloned this repository ( where the Dockerfile is present ).
  3. Build the Docker Image (don't forget the dot!! ๐Ÿ˜„ ):
docker build --tag car_price_prediction_app .
  1. Run the docker:
docker run --publish 8000:8080 --detach --name bb2 car_price_prediction_app

This will launch the dockerized app. Navigate to localhost:8000 in your browser to have a look at your application. You can check the status of your all available running dockers by:

docker ps

used-car-price-prediction's People

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