ISSN:2582-5208

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Paper Key : IRJ************879
Author: Karthickeyan G V,Karanraj V,Naveen Kumar A
Date Published: 12 Apr 2024
Abstract
In the realm of residential real estate valuation projects, the conventional approach often involves manual processes for defect identification. Similarly, in the domain of house construction, manual techniques are commonly employed for defect analysis. However, this manual methodology is time-consuming and relies heavily on human assistance. In order to address these challenges, our project introduces a deep learning model for automated defect detection in house valuation
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