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  Published Paper Details:

  Paper Title

Vigilant AI: Proactive Infrastructure Guardian

  Authors

  Mehek,  Sunitha B S,  Bhoomika D M,  Mohammed Omer Khan,  Ananya S

  Keywords

Predictive maintenance, AI-driven infrastructure monitoring, computer vision, structural health monitoring, real-time anomaly detection, deep learning, cloud edge architecture, crack detection, damage classification, structural degradation analysis, automated inspection, risk assessment, smart city infrastructure, rural infrastructure management, sustainable infrastructure systems.

  Abstract


Infrastructure in both cities and rural areas often falls apart without anyone noticing, which can cause failures, service interruptions, and safety risks. Vigilant AI: Proactive Infrastructure Guardian is a smart, AI-powered system that uses computer vision, machine learning, and data from many sources to find early signs of cracks, blockages, damage, and wear on structures. By shifting from reactive maintenance to predictive monitoring, the system reduces costs, improves response time, and enhances the longevity of public infrastructure. With a scalable cloud edge architecture and real time dashboards, it empowers authorities to make faster, data-driven decisions. The solution is designed to be inclusive, efficient, and suitable for both smart cities and low-connectivity rural environments, ensuring safer and more sustainable infrastructure management.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512498

  Paper ID - 298801

  Page Number(s) - e337-e342

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mehek,  Sunitha B S,  Bhoomika D M,  Mohammed Omer Khan,  Ananya S,   "Vigilant AI: Proactive Infrastructure Guardian", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.e337-e342, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512498.pdf

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Call For Paper December 2025
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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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