A simple webapp made using flask for predicting car prices while buying any second hand car. I have used the vehichle dataset from Kaggle which basically belongs to CarDekho. You just have to fill in some basic information like car price at the time of purchase, car engine etc. to get the predicted price. The model is trained using Random Forest algorithm which is named as random_forest_model.pkl
What will you do when you get a whole lot of spare time that's too for about 4-5 months? Obviously you will think on utilizing this time by acquiring some new skills or learning something new rather than just binge watching our favourite Netflix's web series. Just like that I decided to work on some project by using my Data Science knowledge to develop something interesting and cool. So I just found this amazing dataset on Kaggle which let me make this amazing and small end-to-end project which can predict car prices.
- Link: https://cardekhocarpriceprediction.herokuapp.com/
- Dataset: https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho
While making this project I used python 3.7. If you are using any lower variant of python then I recommend you to upgrade your python to the latest version by using pip. Once you clone this repository just type this command in the cloned project directory in order to install all the required packages:
pip install -r requirements.txt
Once you clone the directory and install all the requirements, simply open terminal in the folder where your project is saved and run the following command:
python app.py
