Paper Title
Intelligent Construction Assistance System
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Registration ID: IJNRD_324350
Published ID: IJNRD2604793
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Keywords
Keywords— Artificial Intelligence, Machine Learning, Project Scheduling, Labour Allocation, Inventory Management, Interior Design, Predictive Analytics, Resource Optimization, Decision Support System, Real-Time Monitoring, Automated Alerts, Customer Interaction, Project Tracking
Abstract
The construction and interior planning industry faces several challenges in project coordination, resource allocation, and customer engagement due to a lack of digital integration and real-time management tools. Our proposed project aims to address these problems by developing a smart, AI powered platform that combines construction site management with interior planning and visualization features. For construction site managers, the system will offer modules for land registration, approval workflows, worker and engineer registrations, inventory management, labour allocation, and project progress tracking. Key features include automated alerts for low stock, assignment and transfer of labourers based on skill, and predictive analytics using machine learning to estimate project timelines based on input factors such as available workers, materials, site area, and equipment. Additionally, it incorporates outsourcing modules and customer registration to facilitate streamlined communication and resource sharing between stakeholders. On the interior planning front, the system will include an AI-based visualization tool (Interior Module) that considers room size, type, lighting conditions, customer preferences, and budget to generate optimal design suggestions. Other features include daily call site reports, loan and EMI tracking, appointment scheduling for admin interaction, and customer feedback collection. By integrating predictive intelligence, automated data handling, and real-time reporting, this solution not only reduces manual errors and delays but also improves customer satisfaction and decision-making for managers. Overall, the proposed application provides a comprehensive digital transformation platform tailored to modern construction and interior design workflows, ensuring transparency, efficiency, and scalability in the industry.
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How To Cite (APA)
Namrata Maruti Patil, Aakanksha Sarjerao Patil , Shweta Suresh Chindage , Sanika Vijay Patil, & Prof. Rohit. D. Mane (April-2026). Intelligent Construction Assistance System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), h686-h695. https://ijnrd.org/papers/IJNRD2604793.pdf
Issue
Volume 11 Issue 4, April-2026
Pages : h686-h695
Other Publication Details
Paper Reg. ID: IJNRD_324350
Published Paper Id: IJNRD2604793
Research Area: Engineering, Science and Technology
Author Type: Indian Author
Country: Kolhapur, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2604793.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604793
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