Stakeholder Analysis and Task Tracker System for PMAY Project Management

Abstract: This paper presents a field-validated study aimed at improving the project management framework under the PradhanMantriAwasYojana(PMAY).Throughin-depthstakeholdersurveys,on-groundchallengesweremapped,leadingto the developmentofacustomdigitalprototype—aninteractiveTaskTrackerSystem.Theprototypeaddressescriticalgapsin stakeholder communication, transparency, multilingual accessibility, and deadline adherence. The proposed tool includes stakeholderspecific dashboards, multilingual interfaces, visual progress indicators, and an alert mechanism. The results demonstrate the system's potential to reduce delays, streamline workflows, and enhance accountability. Recommendations and future integration paths are also outlined

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-04
DOI
https://doi.org/10.22214/ijraset.2025.70116
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Stakeholder Analysis and Task Tracker System for PMAY Project Management

Janhavi Ashok Raut
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Stakeholder Analysis and Task Tracker System for PMAY Project Management

Janhavi Ashok Raut
article en

Abstract

Abstract: This paper presents a field-validated study aimed at improving the project management framework under the PradhanMantriAwasYojana(PMAY).Throughin-depthstakeholdersurveys,on-groundchallengesweremapped,leadingto the developmentofacustomdigitalprototype—aninteractiveTaskTrackerSystem.Theprototypeaddressescriticalgapsin stakeholder communication, transparency, multilingual accessibility, and deadline adherence. The proposed tool includes stakeholderspecific dashboards, multilingual interfaces, visual progress indicators, and an alert mechanism. The results demonstrate the system's potential to reduce delays, streamline workflows, and enhance accountability. Recommendations and future integration paths are also outlined

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 85%
Big Data and Business Intelligence
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