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Land price prediction base on land area

Process:

  1. Frontend send land_area value to backend via API Frontend port = 3000
  2. Backend receive the request at IP=127.0.0.1 Port=5000
  3. Backend call the trained AI model and predict land price
  4. Backend send the land_price to the frontend
  5. Frontend display the land_price.

Simple demo using frontend, backend, API

A. Train the AI model for land price prediction

  1. Go to cd backend
  2. python md.py

B. Start the backend

  1. python main.py

C. Start the frontend

  1. Open new Terminal
  2. cd frontend
  3. Edit ReactJS code in src/App.js
  4. npm start

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Computer Science course python

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