Predictive Modeling of Residential Property Using Machine Learning

Authors

  • Dineshkumar P
  • Shreya Sutar
  • Siddhi Shipkule
  • Sakshi Yedage
  • Gayatri Dhanave
  • Chetana Zore

Keywords:

Data preprocessing, Geographic information systems (GIS), Predict estimation, Predictive analytics, Regression models, Statistical analysis

Abstract

This project introduces an innovative online platform created for a forward-looking real estate agency. The main goal is to provide a straightforward application that helps users estimate and compare residential properties in various locations. This platform aims to make it easy for clients to find and explore a wide selection of properties and their estimated prices, all from their own homes or anywhere around the globe. It features a simple interface, allowing customers to choose properties based on what they like, making the house-hunting experience more enjoyable and tailored to their needs. Any real estate agency, whether a small local business or a large international chain, can use this system.

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Published

2025-03-25

How to Cite

P, D., Sutar, S., Shipkule, S., Yedage, S., Dhanave, G., & Zore, C. (2025). Predictive Modeling of Residential Property Using Machine Learning. Journal of Big Data Analytics and Business Intelligence, 2(1), 16–23. Retrieved from https://matjournals.net/engineering/index.php/JoBDABI/article/view/1560

Issue

Volume 2 Issue 1 (January-April 2025)

Section

Articles