Carculator - Car Price Estimation App

Summary

This project harnesses user input to deliver precise car pricing insights. Powered by Flask on the backend and React.js on the frontend. Our model's training data is enriched through web scraping.

Requirements

Node.js 18.00.0^ Python3 3.10.0^

Backend

Flask + XGboost Based Machine Learning Model

Frontend

React.js

Usage

We recommend to use VsCode

• 1.Terminal (Backend)
  • Open Backend using :
    • python3 flask_test.py

• 2.Terminal (Frontend)
  • Open Frontend using :
    • cd ~/frontend/src
    • npm start