Evaluation of Support to Beneficiaries Under PMAY using Clustering Techniques

During More than 10.5 million individuals in India live in kutcha houses and are described by helpless everyday environments, the consistent convergence of the rustic populace to urban communities looking for occupations is causing issues on metropolitan lodging. To improve this Government of India has as of late dispatched a moderate lodging plan, Pradhan Mantri Awas Yojana – Housing for All (Urban) Mission” for metropolitan territory is being executed during 2015-2022. This Mission gives focal help to carrying out organizations through States and Union Territories for giving houses to every single qualified family/recipient by 2022. The aim is to analyze the beneficiaries for the EWS provided by the government under this scheme. To review various literatures and understand PMAY, an affordable housing scheme for especially Economically Weaker Section (EWS) beneficiaries in India analyzing how Central Government funds are being utilized and contrast the progress of these beneficiaries to the public. The entire process aims at understanding all these activities by clustering (Machine Learning technique) of housing data using GIS coordinates and mapping these clusters to disclose the stages of houses at corresponding location/area.