Mapping of Implementing and Executing Agencies across PM-AJAY Components

Gantela NikhithaDepartment of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, IndiaGonela Harshith RajDepartment of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, IndiaY Pavan Narashimha Rao3Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India

Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 562-568

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 27-05-2026

doi Logo doi.org/10.47001/IRJIET/2026.105076

Abstract

Large-scale government schemes such as the Pradhan Mantri Adarsh Gram Yojana (PM-AJAY) involve numerous implementing and executing agencies operating across diverse administrative regions. The volume and heterogeneity of project data make it difficult for policymakers to track agency involvement, detect resource overlaps, and evaluate implementation effectiveness through manual methods. This paper presents a data-driven web-based system designed to map, visualize, and monitor the distribution of agencies engaged in various PM-AJAY components. The proposed platform processes structured CSV datasets through a Python-Flask backend, applying preprocessing and analytical transformations before rendering results on an interactive dashboard built with HTML, CSS, JavaScript, Chart.js, and Leaflet.js. Core modules include an Agency Directory, Beneficiary Selection and Filtering, Project Monitoring and Status Tracking, Geospatial Mapping, and Report Generation with PDF/CSV export. The system tracks 12,458 total projects across 1,245 agencies serving 8,763 beneficiaries with Rs. 321.45 crore in fund utilization spanning all 36 states and 707 districts. Evaluation confirms accurate metric display, responsive filtering, smooth map interaction, and reliable export, demonstrating significant reduction in manual effort and improved decision-support transparency.

Keywords

PM-AJAY, agency mapping, data visualization, project monitoring, dashboard analytics, web application, implementing agencies, executing agencies, Flask, GIS, interactive dashboard, decision support, Leaflet.js, geospatial visualization, beneficiary management, fund utilization.


Citation of this Article

Gantela Nikhitha, Gonela Harshith Raj, & Y Pavan Narashimha Rao. (2026). Mapping of Implementing and Executing Agencies across PM-AJAY Components. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 562-568. Article DOI https://doi.org/10.47001/IRJIET/2026.105076

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