Paper Title

House construction cost prediction

Article Identifiers

Registration ID: IJNRD_222572

Published ID: IJNRD2405751

DOI: Click Here to Get

Authors

Subhaan Jirait , Shreyas Rede

Keywords

House price , Prediction , Machine learning , Construction

Abstract

House construction cost estimation plays a pivotal role in the dynamics of the real estate market and shapes the decisions of various stakeholders involved in the construction process. Understanding and accurately predicting the cost of building a house is essential for developers, contractors, architects, lenders, and prospective homeowners alike. It serves as the foundation for budgeting, pricing, financing, and project planning activities, influencing the feasibility and success of construction ventures. In response to these challenges, the application of machine learning (ML) and data analytics presents a promising solution for improving the accuracy and efficiency of construction cost estimation. Machine learning models can analyze vast amounts of historical data, identify patterns and correlations, and predict costs with higher precision. By continuously learning from new data, these models can adapt to changing market conditions and provide real-time insights.

How To Cite

"House construction cost prediction", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.h311-h342, May-2024, Available :https://ijnrd.org/papers/IJNRD2405751.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : h311-h342

Other Publication Details

Paper Reg. ID: IJNRD_222572

Published Paper Id: IJNRD2405751

Downloads: 000121118

Research Area: Engineering

Country: Phaltan, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405751.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405751

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area