UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRGZ06011


Registration ID:
567342

Page Number

54-57

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Title

FRAUD DETECTION USING AI IN GST PRACTICES - A CASE STUDY

Abstract

The Goods and Services Tax (GST) framework in India, despite its technological sophistication, nevertheless encounters difficulties in identifying and mitigating tax fraud. Fraudulent invoicing, improper Input Tax Credit (ITC) claims, and circular trading have grown widespread. Artificial Intelligence (AI) has become an effective means for evaluating extensive transactional data, recognizing patterns and detecting irregularities that may signify fraudulent actions. This study examines the application of AI in fraud detection within the GST framework, provides case-based proof of its effective implementation, and proposes additions that would strengthen the system further. The results emphasize the revolutionary impact of AI in facilitating proactive governance, enhancing enforcement, and augmenting tax compliance.

Key Words

FRAUD DETECTION USING AI IN GST PRACTICES - A CASE STUDY

Cite This Article

"FRAUD DETECTION USING AI IN GST PRACTICES - A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.54-57, July-2025, Available :http://www.jetir.org/papers/JETIRGZ06011.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FRAUD DETECTION USING AI IN GST PRACTICES - A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp54-57, July-2025, Available at : http://www.jetir.org/papers/JETIRGZ06011.pdf

Publication Details

Published Paper ID: JETIRGZ06011
Registration ID: 567342
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: 54-57
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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