Rishiraj8/house_price_prediction
A full-stack application for predicting house prices using a machine learning model. Features a React frontend for user interaction and a Flask backend powered by a trained Random Forest Regressor. Developed as part of a school friend's final-year project
This application helps real estate agents, appraisers, or potential home buyers quickly estimate house prices. You input details like the number of bedrooms, bathrooms, living area, house condition, and nearby schools, and it outputs a predicted house price. It's designed for anyone who needs a quick valuation based on key property features.
No commits in the last 6 months.
Use this if you need a local, interactive tool to predict house prices based on specific property characteristics.
Not ideal if you need to analyze large datasets of properties, require advanced statistical reporting, or need to connect to live real estate market data.
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Language
JavaScript
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Last pushed
Dec 25, 2024
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