This research delves into the intricate phenomenon of slums, densely populated urban areas often synonymous with poverty, weak housing structures, and inadequate infrastructure. The historical prevalence of slums in the United States and Europe during the 19th to late 20th centuries has transformed into a contemporary global issue, persisting in developing and developed nations alike. Notably, the world's largest slum city exists in Orangi, Karachi, Pakistan. This study challenges the conventional view of slums as problems, positing them as solutions for economically challenged families unable to afford housing.

The aim of the research is to enhance the quality of life for the low-income demographic by facilitating housing access and improved sanitation through the implementation of recycled materials and sustainable practices. Objectives include studying the evolution of slums, understanding the challenges faced by slum dwellers, and examining the necessity for slum redevelopment to elevate living standards.

The scope of the study is centered on the importance of slum redevelopment, identification of slum characteristics, and an exploration of the concept of slum dwellings, with a focus on Indian conditions. The thrust of the research lies in the examination of recycled materials and their techniques. Case studies and literature reviews, such as effective slum management in Kalaburagi, Karnataka, and the urban poor living in slums in Raipur City, India, will contribute to a comprehensive understanding.

The methodology involves data collection from various resources, including net case studies, live case studies in areas like Bangarapanagar and Arundhathinagara in Bangalore, and rigorous analysis. The research aims to tackle the problems identified and propose meaningful measures. The conclusion will present hypotheses derived from the research and analysis, contributing valuable insights to the discourse on slum redevelopment and sustainable urban living. Slum redevelopment, sustainability, questionnaire, housing, poverty, infrastructure, sanitation, problem identification, data collection, global issue.