LLM in Public Service Applications: CPGRAMS

CPGRAM Portal is a government platform introduced for the citizens to file their grievances related to specific ministries. With the increasing population, it’s difficult to handle and manage a large number of complaints. Also manual addressing to basic user queries is also time taking and requires a lot of labour. This project proposes an AI/ML driven chatbot designed to handle users will ease the grievances filing process. This chatbot is powered by Large Language Models(LLMs) which can address user queries efficiently. This chatbot will be made for specific ministries, guiding users step by step in filing grievances and also address frequently asked questions. Use of machine learning enables the chatbot to continuously learn and adapt to user queries which will help in increasing the response time and accuracy. So this will help to reduce the manual support, enhance user satisfaction and optimize the overall experience of the user. This solution focuses on addressing common queries faced by user, timely and efficient support for grievance resolution in ministry-specific context

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-19
DOI
https://doi.org/10.22214/ijraset.2025.70999
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LLM in Public Service Applications: CPGRAMS

Sudarshan Goyal
1 links
International Journal for Research in Applied Science and Engineering Technology
Data Mining Algorithms and Applications
article

LLM in Public Service Applications: CPGRAMS

Sudarshan Goyal
article en

Abstract

CPGRAM Portal is a government platform introduced for the citizens to file their grievances related to specific ministries. With the increasing population, it’s difficult to handle and manage a large number of complaints. Also manual addressing to basic user queries is also time taking and requires a lot of labour. This project proposes an AI/ML driven chatbot designed to handle users will ease the grievances filing process. This chatbot is powered by Large Language Models(LLMs) which can address user queries efficiently. This chatbot will be made for specific ministries, guiding users step by step in filing grievances and also address frequently asked questions. Use of machine learning enables the chatbot to continuously learn and adapt to user queries which will help in increasing the response time and accuracy. So this will help to reduce the manual support, enhance user satisfaction and optimize the overall experience of the user. This solution focuses on addressing common queries faced by user, timely and efficient support for grievance resolution in ministry-specific context

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 85%
Data Mining Algorithms and Applications
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.