<p data-start="120" data-end="453"><strong data-start="120" data-end="151">Principal Investigator (PI)</strong><br data-start="151" data-end="154" /><strong data-start="154" data-end="172">Project Title:</strong> <em data-start="173" data-end="280">An Indigenous AI-Enabled Low-Cost Portable Device for Online Remote Health Monitoring of Civil Structures</em><br data-start="280" data-end="283" /><strong data-start="283" data-end="305">Sponsoring Agency:</strong> <span class="hover:entity-accent entity-underline inline cursor-pointer align-baseline"><span class="whitespace-normal">Ministry of Electronics and Information Technology</span></span> (MeitY), Government of India<br data-start="372" data-end="375" /><strong data-start="375" data-end="401">Research Grant Amount:</strong> INR 6.00 Lakhs<br data-start="416" data-end="419" /><strong data-start="419" data-end="428">Role:</strong> Principal Investigator</p>
<p data-start="455" data-end="991">This sponsored research project focuses on the development of a cost-effective, AI-enabled portable structural health monitoring (SHM) device for real-time condition assessment of civil infrastructure. The project aims to integrate advanced signal processing, machine learning algorithms, and embedded system design to enable remote and continuous monitoring of structural performance. The initiative emphasizes indigenous product development aligned with national priorities in smart infrastructure and digital monitoring technologies.</p>
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