CivicCompass: A Data-Driven Platform for Public Information Access, Scheme Navigation

CivicCompass is a centralized, web-based platform developed to streamline public access to state and district- levelwelfare schemes in India. Government portals often contain fragmented and unstructured information, which makes itdifficult for citizens—particularly from rural and underprivileged areas—to discover and understand available benefits. Thisproject addresses that gap by implementing automated web scraping to collect data from various official sources. Theextracted content is cleaned, categorized, and stored using structured CSV files via pandas, then dynamically displayed usingDjango's Model-View-Template (MVT) architecture. The portal allows users to filter schemes by state, district, anddepartment. It also incorporates a feedback mechanism where users can submit comments or inquiries, which are reviewedthrough an admin panel before publication. The system was designed for scalability and maintainability, with futureimprovements possible through API integrations and multilingual support. Overall, the portal bridges the gap between digitalgovernance and grassroots-level access, enabling inclusive participation in government programs.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15727252
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CivicCompass: A Data-Driven Platform for Public Information Access, Scheme Navigation

Zenodo (CERN European Organization for Nuclear Research)
ICT in Developing Communities
article

CivicCompass: A Data-Driven Platform for Public Information Access, Scheme Navigation

article en

Abstract

CivicCompass is a centralized, web-based platform developed to streamline public access to state and district- levelwelfare schemes in India. Government portals often contain fragmented and unstructured information, which makes itdifficult for citizens—particularly from rural and underprivileged areas—to discover and understand available benefits. Thisproject addresses that gap by implementing automated web scraping to collect data from various official sources. Theextracted content is cleaned, categorized, and stored using structured CSV files via pandas, then dynamically displayed usingDjango's Model-View-Template (MVT) architecture. The portal allows users to filter schemes by state, district, anddepartment. It also incorporates a feedback mechanism where users can submit comments or inquiries, which are reviewedthrough an admin panel before publication. The system was designed for scalability and maintainability, with futureimprovements possible through API integrations and multilingual support. Overall, the portal bridges the gap between digitalgovernance and grassroots-level access, enabling inclusive participation in government programs.

Zenodo (CERN European Organization for Nuclear Research)
Raisoni Group of Institutions (IN)
Openalex Percentile: Top 43%
ICT in Developing Communities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.