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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | Infrastructure model development system using AI ML with natural calamities prediction |
| Authors Name: | Amarjit Vishwakarma , Santosh Pal , Aryan Raut , Kirtida Naik |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217293
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| Published Paper Id: | IJNRD2404047 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The construction industry stands as a dynamic force, sculpting the very fabric of societies across the globe. Yet, amidst this dynamism, traditional project management methods have proven inadequate in the face of the evolving demands of modern construction endeavors. It is within this context that a groundbreaking construction application emerges, meticulously designed to surmount these challenges. This revolutionary app represents a paradigm shift in how construction projects are planned, executed, and monitored. By seamlessly integrating cutting-edge technology with tried-and- true construction principles, it promises to streamline operations and enhance productivity across the board. Its intuitive interface empowers project managers, architects, and workers alike, providing them with real-time access to critical data, schedules, and resource allocations. Furthermore, this app embraces the collaborative nature of construction projects, fostering open communication and cooperation among stakeholders. Through features such as generating 2D-model of infrastructure, predicting height of building by observing the natural calamities. By harmonizing these capabilities, it pledges to greatly amplify efficiency, reduce delays, and maximize resource efficiency. This exploration delves into the app's inception, highlighting its pivotal features and the transformative influence it wields in construction project management, ushering in an epoch of heightened productivity and effectiveness which also helps for empowering labors and selling/buying lands. |
| Keywords: | 2D Model, Construction, Human Safety, Machine Learning, Natural Calamities, Technology. |
| Cite Article: | "Infrastructure model development system using AI ML with natural calamities prediction", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.a358-a367, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404047.pdf |
| Downloads: | 00063 |
| 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 |
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Published Paper ID:IJNRD2404047 Registration ID: 217293 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: a358-a367 Country: Virar, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404047 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404047 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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