GraamSoochna: An AI-Driven Multilingual Digital Notice Platform for Inclusive Rural Governance

Authors

  • Anver S. R. Department of Computer Science and Engineering, LBS College of Engineering, Kasaragod.
  • Deepambika V. A. Department of Electronics and Communication Engineering, LBS Institute of Technology for Women, Trivandrum.
  • Abdul Rahiman M. LBS Centre for Science and Technology, Trivandrum.

DOI:

https://doi.org/10.70917/ijcisim-2026-4048

Keywords:

Rural Governance, Artificial Intelligence, Multilingual Communication, Progressive Web Applications, Text-to-Speech, Smart Governance

Abstract

Effective communication between Panchayats and citizens is vital for transparent rural governance; however, traditional dissemination methods often suffer from limited accessibility, delayed updates, and authenticity issues. To address these challenges, GramSoochna proposes an intelligent multilingual digital notice system implemented as a Progressive Web Application (PWA) with offline support for low-connectivity regions. The system employs a multimodal AI-based framework to extract, structure, and translate notices from text, images, and documents using Natural Language Processing and Large Language Models. An interactive Text-to-Speech module with synchronized highlighting enhances accessibility for elderly, visually impaired, and low-literacy users. The platform further provides personalized recommendations, real-time notifications, and secure administrative controls to ensure timely and authentic information dissemination. Experimental results demonstrate up to 99.2% accuracy in content extraction, highlighting the system's effectiveness in improving accessibility, citizen participation, and transparency in rural governance.

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Published

2026-07-31

How to Cite

Anver S. R., Deepambika V. A., & Abdul Rahiman M. (2026). GraamSoochna: An AI-Driven Multilingual Digital Notice Platform for Inclusive Rural Governance. International Journal of Computer Information Systems and Industrial Management Applications, 18(13s), 310–318. https://doi.org/10.70917/ijcisim-2026-4048

Issue

Section

Original Articles