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Machine Learning Project

About This
Project

A data-driven property valuation tool built with real-world Indian housing data and advanced regression algorithms.

Overview

The Property Price Predictor uses a trained scikit-learn regression model to estimate house prices across 13 major Indian cities. It considers bedrooms, bathrooms, parking, area, furnishing status, and city-specific market multipliers to deliver accurate, instant valuations without any manual lookup.

Key Features
ML Regression
13 Cities
Instant Results
Validated Model
Model Statistics
95%
Accuracy
10k+
Training Rows
13
Cities
<1s
Prediction
Technology Stack
Python Flask Scikit-learn Pandas NumPy Joblib Bootstrap 5
Explore More

View the full Jupyter notebook to see data preprocessing, model training, and evaluation.