Users can get the price of their used cars within the short spam of time. Users just need to fill the basic details of their car.
ML algorithm - Random forest regressor
Framework & Languages - Python | Flask | RestAPIs
Front-end - HTML | CSS
Deployment - Heroku
1.app.py - It is the main file where Flask API endpoint is created which takes the model input through UI and pass it for prediction.
2.model.ipnyb Model building file.
The complete project is deployed on Heroku platform and it is live...
Here is the link of project https://predicting-car-price.herokuapp.com