BUILDHUB-A Smart Construction Service Platform for Planning, Estimation, and Design
Abstract
The ’BuildHub’ project introduces a comprehensive digital platform for construction planning, estimation, and client engagement. By integrating automated cost estimation, real- time project tracking, and a user-friendly interface, BuildHub enhances digital transformation in the construction industry. This paper explores the system architecture, implementation methodologies, and potential scalability beyond a single firm. A comparative analysis with existing construction management tools highlights BuildHub’s unique contributions. Additionally, coding best practices ensure system efficiency, security, and maintainability.
Keywords:
Construction Management Systems, Digital Transformation, Cost Estimation Automation, Project Tracking Systems, Web-Based PlatformsPublished
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 2 (2026): IJERA
- Niya Joseph, Tintu Alphonsa Thomas, A Systematic Review of Content-Based Image Retrieval Techniques , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Hitha P S, Ezra Tom George, Fathima N , Izabel Joseph, Karun Jidhish, Kausalya Sumesh, A Review Based on Satellite-Based Land Cover Classification System , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Nithya Rajesh, M Ashwin, Nithin Sajan Thomas, Reshma Rajendran B, Sustainable Use of Autoclaved Aerated Concrete(AAC) Block Waste in Concrete , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Asha Joseph, Deep Learning for Cyber Threat Detection , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- M Manoj, A S Athira, Rishna Ramesh, Sandhra Gopi, Firoz P U, Smart Attend Insights , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Athulya Anilkumar, Abhinav V V, Aneeta Shajan, Anjana S Nair, Bini M Issac, R Neenu, Image Descriptor For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Sebin Thomas, John VG, Josin Chacko, Mariyam Shajahan, Sharon Sunny, PPT GENERATION FROM REPORT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
