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The project leverages machine learning models to predict land and property prices based on features such as land size (superficie) and location (secteur). It integrates a responsive user interface with real-time backend APIs to provide accurate and dynamic price estimations for land valuation.

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PropreModelia

PropreModelia is a full-stack application designed to predict land prices based on user-provided details. This repository contains both the backend (machine learning model and API) and frontend (React-based user interface) components.


Table of Contents


Overview

PropreModelia helps users predict land prices using a machine learning model hosted on a backend API and presented via a user-friendly React-based frontend. The system is structured to allow for seamless communication between the frontend and backend.


Overall Installation

  1. Clone the repository:
    git clone https://github.com/your-repo/propremodelia.git
  2. Install and run the backend: Follow the Backend instructions.
  3. Install and run the frontend: Follow the Frontend instructions.

Usage

  1. Start the backend server to serve the machine learning API.
  2. Start the frontend development server.
  3. Open the frontend application in your browser.
  4. Input land details into the provided form and submit.
  5. View the predicted land price displayed on the screen.

Technologies

Backend

  • Python
  • FastAPI
  • Custom Machine Learning Model

Frontend

  • React (with Next.js)
  • Material-UI (MUI)
  • Tailwind CSS
  • TypeScript

About

The project leverages machine learning models to predict land and property prices based on features such as land size (superficie) and location (secteur). It integrates a responsive user interface with real-time backend APIs to provide accurate and dynamic price estimations for land valuation.

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  • Jupyter Notebook 93.1%
  • TypeScript 4.3%
  • Python 2.5%
  • Other 0.1%