House Price Predictor using Django + ML

A web-based application built with Django that allows users to:

• Upload house data via the admin panel
• Predict house prices based on area, bedrooms, and age
• Visualize input parameters and prediction results in a single chart
• Enable checkbox filters to toggle parameters

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Features

? Upload CSV files from Django Admin
? Predict price based on form input
? Show visualization (bar chart) with:

• Area (sqft)
• Bedrooms
• Age (years)
• Predicted price
  ? Interactive chart with checkboxes
  ? Styled UI with Bootstrap

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Tech Stack

• Python 3.10+
• Django 4.2+
• NumPy
• Pandas
• Matplotlib or Chart.js
• Bootstrap 5
• Scikit-learn (for ML model)
• Optional: Celery (for async tasks on file upload)

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Getting Started

1. Clone the Repository

git clone https://github.com/dydevops/house-price-predictor.git
cd house-price-predictor