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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 5, MAY 2025

MapNest: An AI-Driven Platform for Automated House Mapping and Utility Design

Pranay Vaish, Abhishek Jaiswal, Mohd Sharik, Mrs. Namita Srivastava

DOI: 10.17148/IJARCCE.2025.145112

Abstract: MapNest is a web-based platform developed to automate the design of residential floor plans and optimize utility layouts, including electricity and water systems. The system leverages HTML, CSS, JavaScript, Python, and artificial intelligence to collect user requirements and generate customized house maps. The platform simplifies the architectural design process for users without technical knowledge, offering a low-cost and accessible alternative to traditional CAD software. This paper outlines the methodology, system architecture, and implementation strategy of MapNest, and discusses its effectiveness, scalability, and potential for future enhancement.

Keywords: House Mapping, Utility Design, AI, Web Application, Automation, Floor Plan Generator.

How to Cite:

[1] Pranay Vaish, Abhishek Jaiswal, Mohd Sharik, Mrs. Namita Srivastava, “MapNest: An AI-Driven Platform for Automated House Mapping and Utility Design,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.145112