Revolution Construction of house: Dwell Well System Based on Anomaly Detection (KEY IJP************517)

• Utkarsh Deshmane,Darshan Borse,Saurabh Sanmane,Prathamesh Parmar,Prof. Trupti Farande

Abstract

The construction of houses under the Pradhan Mantri Awaas Yojana Gramin (Dwell Well Systems) in India is a crucial initiative aimed at providing affordable housing to the rural population. However, ensuring the structural integrity of these houses is of utmost importance to ensure the safety and wellbeing of the occupants. This report presents a comprehensive approach to detecting anomalies in Dwell Well Systems housing construction, utilizing artificial intelligence and machine learning techniques. The objective of this report is to develop an anomaly detection approach that can effectively identify any structural anomalies or defects in Dwell Well Systems housing construction. By leveraging predictive analysis models and image accuracy assessment, the proposed system aims to provide a reliable and efficient solution for ensuring the structural integrity of these houses. Providing a solid foundation for understanding anomaly detection approach, this report begins with an introduction that outlines the background and motivation behind the research. The background section provides an overview of the Dwell Well Systems scheme and highlights the importance of ensuring the structural integrity of the constructed houses. It also discusses the challenges and limitations faced in the current construction practices. The motivation behind this research stems from the need to address the potential risks associated with structural anomalies in Dwell Well Systems housing construction. These anomalies can lead to severe consequences, including safety hazards and financial losses.