rubalsxngh / CosmosCribPricer

CosmosCribPricer is a web application that leverages a Machine Learning model to predict house prices based on various features.
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django html machine-learning

CosmosCribPricer

Welcome to the CosmosCribPricer – an enchanting tool to predict house prices with a touch of machine learning magic! 🔮

Overview

This project utilizes a machine learning model to predict house prices based on various features such as total square feet, bathrooms, balconies, bedrooms, area type, and location. The magic happens when you enter these mystical details, and the House Price Mystifier reveals the predicted house price.

Getting Started

Prerequisites

Installation

  1. Clone the repository:

    
    git clone https://github.com/rubalsxngh/CosmosCribPricer
    cd CosmosCribPricer
  2. Install dependencies:

    
    pip install -r requirements.txt
  3. Run the Django development server:

    
    python manage.py runserver
  4. Open your browser and visit http://127.0.0.1:8000/ to explore the House Price Mystifier.

Contributing